Volume 08, Issue 02, MAY 2022

  • Handwritten Text Recognition using CRNN Avishkar Sudharma Dalvi, Riddhi Jagdish Narkar, Soumyojyoti Jyotirmoy Dutta, Vedang Nilesh Gore, Deepali Kayande

    Handwritten Text Recognition (HTR) is a very important field of research in the domain of Machine Learning, Image Processing, and Artificial Intelligence. This is because it often involves decoding human written letters and words in a given language. This project involves the recognition of handwritten words. This project uses ANN (artificial neural network) as it mimics the biological functioning of the brain, and hence is very efficient

    Handwritten Text Recognition using CRNN

    Avishkar Sudharma Dalvi, Riddhi Jagdish Narkar, Soumyojyoti Jyotirmoy Dutta, Vedang Nilesh Gore, Deepali Kayande

    Handwritten Text Recognition using CRNN

  • Decentralized Chat Application Using Blockchain Venkata Narendra Vudatha, Sri Sai Manikanta Vishnu Shasank Mallela

    Blockchain ensures that communication is carried out in a decentralized manner. Decentralized network runs via P2P(peer-to-peer) protocols. A decentralized Chat application is very much needed to ensure security, costeffectiveness, control of data, faster processing, immutability and traceability in the today’s world. Decentralized chat application overcomes the disadvantages caused by conventional messaging applications

    Decentralized Chat Application Using Blockchain

    Venkata Narendra Vudatha, Sri Sai Manikanta Vishnu Shasank Mallela

    Decentralized Chat Application Using Blockchain

  • Implementation of Toll Collection System using LI-FI Prof. Sonal Hutke, Vilasini Rankar, Mrunal Shinde, Srishti Patil, Shruti Thevar

    The existing radio-wave spectrum is insufficient to match the need for speedier communication as technology advances and the number of users increases in today's globe. A newly emerging technology called Li-Fi is combined with a toll collection system to address challenges like availability and security. In comparison to Wi-Fi, Li-Fi covers a wider range of frequencies and wavelengths, from infrared to visible to ultraviolet

    Implementation of Toll Collection System using LI-FI

    Prof. Sonal Hutke, Vilasini Rankar, Mrunal Shinde, Srishti Patil, Shruti Thevar

    Implementation of Toll Collection System using LI-FI

  • Donation Website: Implementation Harshika Parmar, Safa Shaikh, Yash Joshi, Prof. ALLAN LOPES

    Serving for the general public through specialized and programming aptitude. Our application comprises of use of left over stuff or item which can be used by poor one. We will incorporate private individuals, hospitals, education foundations, eatery and so on which can help individuals like halfway house home, seniority home, and society help required individuals by their left over stuff. Everybody who needs to give left over stuff

    Donation Website: Implementation

    Harshika Parmar, Safa Shaikh, Yash Joshi, Prof. ALLAN LOPES

    Donation Website: Implementation

  • Clinical Healthcare System Using Data Mining Amir Basha Shaikh, Artha Pradeep Kumar Pillai, Sachi Rajesh Patankar, Prof. Suvarna V Chaure

    We sometimes require emergency assistance from doctors, yet they are unavailable for various reasons. In this project, a user-friendly approach for receiving quick health advice via an online health care system is presented. In this study, data mining methodologies and applications from Clinical Predictions' medicinal and instructive parts are applied. A tremendous amount of information in the medical and health-care areas

    Clinical Healthcare System Using Data Mining

    Amir Basha Shaikh, Artha Pradeep Kumar Pillai, Sachi Rajesh Patankar, Prof. Suvarna V Chaure

    Clinical Healthcare System Using Data Mining

  • PDF Note-taking system and editor with Python Harmit Saini, Siddharth Singh, Sarvesh Shirwalkar, Shubham Mojidra, Sukhada S. Aloni

    The COVID-19 pandemic has wreaked havoc on every aspect of society. A huge chunk of daily chores and tasks have shifted to the digital world. Face-to-face classes have been canceled and moved online, bringing about the rise of online learning and hence technologieslike Online conference apps, online notebooks, PDF editors, etc. Asthe students going through the experience of E-learning, we realize the need for a good PDF editor

    PDF Note-taking system and editor with Python

    Harmit Saini, Siddharth Singh, Sarvesh Shirwalkar, Shubham Mojidra, Sukhada S. Aloni

    PDF Note-taking system and editor with Python

  • A Study of Nucleate Boiling Phenomenon of Water Undergoing Phase Change over Two Rotating Manjunath S V, Abdul Sharief, S.K. Maharana

    In recent years, the problems of fluid flow interface and enhanced boiling heat transfer over an array of cylinders has emerged as a potential research area in technological developments of fluid dynamics and prominent industry applications such as cooling of electronic components, nuclear reactor fuel rods, etc. The mentioned applications are subjected to flow of water or air and experiences flow induced forces

    A Study of Nucleate Boiling Phenomenon of Water Undergoing Phase Change over Two Rotating

    Manjunath S V, Abdul Sharief, S.K. Maharana

    A Study of Nucleate Boiling Phenomenon

  • Economical Design of Initial Bund and Raising of Bund Successively for Disposal of Wonder Material Flyash Jaikishan Bhardhwaj, Aboli Sakhare, Pooja Patond, Danish Khan, Mohd. Shahid Arshad

    An ash bund, also called a coal ash basin or surface impoundment is an engineered structure used at coal fixed power station for the disposal of two types of coal combustion product bottom ash & fly ash. The ash bund is used as a landfill to prevent the refuse of ash into the atmosphere. The Khasara ash bund having total area 314.00 Ha is used for deposition of ash generated by 3X660MW, KTPS, Koradi

    Economical Design of Initial Bund and Raising of Bund Successively for Disposal of Wonder Material Flyash

    Jaikishan Bhardhwaj, Aboli Sakhare, Pooja Patond, Danish Khan, Mohd. Shahid Arshad

    Economical Design of Initial Bund

  • A Survey for Cardiovascular diseases detection using angiograms and FFR Image Segmentation HELIBEN MAHENDRAKUMAR DAVE

    Heart related (Cardiovascular) disease is a emerging threaten disease for survival for human world. Early detection of the same type of diesease is need of the time. Various research has been performed for the same problem. Researchers tried with various method and datasets. Various methods based on Medical Images and Clinical data are performed. Main purpose of these research is for benefit of all human kind

    A Survey for Cardiovascular diseases detection using angiograms and FFR Image Segmentation

    HELIBEN MAHENDRAKUMAR DAVE

    A Survey for Cardiovascular diseases

  • A Review of Renewable Energy Scenario in India and Environment Impact Assessment Yashika Gupta, Tushar Verma, Shivanshu Sakya, Sawan Kumar

    Hydro power plants convert potential energy of water into electricity. It is a clean source of energy . The water after generating electrical power is available for irrigation and other purposes, Hydroelectric power generation is an established technology that uses the potential energy of water to generate electricity. The main components of the hydropower plants are dam or retaining wall, a water turbine, and an electrical generator

    A Review of Renewable Energy Scenario in India and Environment Impact Assessment

    Yashika Gupta, Tushar Verma, Shivanshu Sakya, Sawan Kumar

    A Review of Renewable Energy

  • Major Cloud Computing Security Challenges and New Algorithms for Protection Mercy Deepa A, Benitsha A, Daniel Silvanus P, Ganesan A.

    Cloud computing is one of today's most exciting technologies due to its ability to reduce costs associated with computing while increasing flexibility and scalability for computer processes. During the past few years, cloud computing has grown from being a promising business idea to one of the fastest growing parts of the IT industry. IT organizations have expresses concern about critical issues (such as security) that exist

    Major Cloud Computing Security Challenges and New Algorithms for Protection

    Mercy Deepa A, Benitsha A, Daniel Silvanus P, Ganesan A.

    Major Cloud Computing Security Challenges

  • Employee Retention as a Strategic Approach towards achieving Organization Competitiveness Dr. R Sivakami, Sneha Roy

    The purpose of the study undertaken is an attempt to analyze the several dimensions which can affect the level of retention, job satisfaction & organizational contribution of the employees with the help of extant literature. It further draws defines the relationship employee retention has on organizational competitiveness. The paper is a descriptive paper that has been collated by performing an intensive literature review

    Employee Retention as a Strategic Approach towards achieving Organization Competitiveness

    Dr. R Sivakami, Sneha Roy

    Employee Retention as a Strategic Approach

  • Seismic Analysis of multistoried building using STAAD Pro software Riddhima Singh, Manoj Kumar, Siddhant Singh, Shorya Rathi, Zohaib Ahmed Khan

    Any building to be constructed needs to be structurally examined before its construction. This analysis becomes more crucial for the high-rise buildings which are constructed nowadays as they possess more critical combination of forces than ordinary buildings. The force which acts on the structural body i.e. buildings, bridges, roads, etc. may be static or dynamic. The static forces are time independent, such as the dead load of the building

    Seismic Analysis of multistoried building using STAAD Pro software

    Riddhima Singh, Manoj Kumar, Siddhant Singh, Shorya Rathi, Zohaib Ahmed Khan

    Seismic Analysis of multistoried building

  • Chrome extension for detecting mental health on social media Reena Kale, Yash Shah, Brian Pereira, Prof. Ditty Varghese

    People use social media to stay in touch with their friends and share their moods, emotions, and other information. This enables businesses to analyse emotional data from social networks to better understand how people feel and act when communicating via these online platforms. People do not seek professional aid due to a lack of willingness. Also, because of the Covid 19 pandemic, many were confined to their homes and chose to express

    Chrome extension for detecting mental health on social media

    Reena Kale, Yash Shah, Brian Pereira, Prof. Ditty Varghese

    Chrome extension for detecting mental

  • A Qualitative Assessment of Traditional and Agile Software Development Methodologies Poonam Narang, Pooja Mittal

    Aim of Software Engineering is to focus primarily on high Quality, well documented and within budget software, that too in a small pace of time. To achieve this target, software engineering propounds several software development frameworks that are broadly categorized into Traditional Methodologies, Agile Methods and DevOps, an emerging trend in software engineering. These methodologies cover different models viz. Waterfall, Prototype, Spiral, Iterative

    A Qualitative Assessment of Traditional and Agile Software Development Methodologies

    Poonam Narang, Pooja Mittal

    A Qualitative Assessment of Traditional and Agile

  • Sustainable Design of Cold-Formed Steel in The Context of Life Cycle Cost Akash D. Kumbhar, Sachin B. Salve, Dr. G.R. Gandhe

    The purpose of this paper is to emphasise the importance and necessity of implementing new sophisticated construction techniques in order to achieve rapid, sustainable and long-term growth in the construction sector Traditional methods such as concrete frame building and hot rolled steel erection are time-consuming, involve a lot of people and machinery, and have a high fabrication cost

    Sustainable Design of Cold-Formed Steel in The Context of Life Cycle Cost

    Akash D. Kumbhar, Sachin B. Salve, Dr. G.R. Gandhe

    Sustainable Design of Cold-Formed Steel

  • Alzheimer's Disease Detection Using Machine Learning Krishna Mundlik, Shubham Kolhe, Prathmesh Vaste, Akash Jagadale

    Alzheimer disease is one of the most common and fastest growing neuro degenerative diseases in the western countries. Development of different biomarkers tools are key issues for diagnosis of Alzheimer disease and its progression. Prediction of cognitive performance of subjects from EEG and identification of relevant biomarkers are some of the research problems. EEG signal analysis can be well suited for automated diagnosis

    Alzheimer's Disease Detection Using Machine Learning

    Krishna Mundlik, Shubham Kolhe, Prathmesh Vaste, Akash Jagadale

    Alzheimer's Disease Detection Using Machine Learning

  • A Comparative Study of Different Soil Properties for Pavement Design of Various Locations Saptarshi Roy, Syed. Manzur. Ali, Biplab. Mani. Das, Kalyan.Ranjan. Mandal, Riddha Chaudhuri

    Geotechnical engineers use predictive modelling in order to anticipate the behavior of geomaterials used in the highway infrastructure. For the purposes of determining the shear strength of subgrade material, and the stiffness modulus used in pavement design, GI & California Bearing Ratio (CBR) is applied to the subgrade. GI and CBR valuecan be directly assessed from laboratory tests such as Atterberg limit test & CBR test

    A Comparative Study of Different Soil Properties for Pavement Design of Various Locations

    Saptarshi Roy, Syed. Manzur. Ali, Biplab. Mani. Das, Kalyan.Ranjan. Mandal, Riddha Chaudhuri

    A Comparative Study of Different Soil

  • Spatiotemporal Assessment of Water Bodies Using GIS and Remote Sensing Mohit Patel, Aniruddh BPS Rana, Aniruddh Kumar Yadav, Mayank Duey

    India is rich in man-made and natural water, which plays a vital role in the domestic and water system. This study demonstrates a variety of field application techniques and recognized lake characteristics and models to improve processes for developing remote models to detect green growth and use. As satellite and airborne sensors evolve and their information becomes more readily available, the use of models to measure water quality

    Spatiotemporal Assessment of Water Bodies Using GIS and Remote Sensing

    Mohit Patel, Aniruddh BPS Rana, Aniruddh Kumar Yadav, Mayank Duey

    Spatiotemporal Assessment of Water

  • Seismic Vulnerability Assessment of Regular and Irregular RC Buildings using Pushover Analysis Shaikh Ahrajfarhan Abdul Riyaz, Mohd. Zameeruddin

    With the increasing demand of urbanization in developing countries has raised the need for the construction of medium-rise and high-rise buildings. Safety of both structure and life during a seismic event has become a prime focus of structural engineers. Preliminary seismic risk assessment tools are often used to screen the new and existing structures against the potential seismic hazards. The geometric profile of a structure

    Seismic Vulnerability Assessment of Regular and Irregular RC Buildings using Pushover Analysis

    Shaikh Ahrajfarhan Abdul Riyaz, Mohd. Zameeruddin

    Ammonia Gas Sensing Properties of Aloevera

  • Behaviour of Concrete with Glass Waste to an Attack from Sulphate Reagents Abhay Pandey, Abhishek Pandey, Mohd Zaid, Himanshu Singh, Kunal Bisht

    The present research deals with the incorporation of crushed beverage glass as a substitute for naturally procured river sand at a replacement percentage of 5%, 10% and 20%. The 28 days water cured specimens were placed in a sulphate environment for a period of 7 days and 28 days. Tests were conducted on the formed specimens in order to verify the change in weight and strength after comparing them with 28 days water cured specimens

    Behaviour of Concrete with Glass Waste to an Attack from Sulphate Reagents

    Abhay Pandey, Abhishek Pandey, Mohd Zaid, Himanshu Singh, Kunal Bisht

    Behaviour of Concrete with Glass Waste

  • Robust crop recommender system using Random Forest and CNN Charukeerthi N Bhavikatti, Adithya S Iyer, Akshay Kumar T, J B Abdul Azeez Ur Rahaman, Chaitra H K

    India's economy is dominated by agriculture. The majority of its population relies on agriculture for their livelihood either explicitly or implicitly. Today the population is growing tremendously and with this, the demand for food is also increasing. Therefore, it is now time to introduce advanced farming methods. The farmers are not choosing the right crops for cultivation, which is a major and serious hindrance to crop productivity

    Robust crop recommender system using Random Forest and CNN

    Charukeerthi N Bhavikatti, Adithya S Iyer, Akshay Kumar T, J B Abdul Azeez Ur Rahaman, Chaitra H K

    Robust crop recommender system using Random Forest and CNN

  • AVISION BASED HAND GESTURE RECOGNITION SYSTEM USING DEEPLEARNING Dr.N.Revathy, Ms.S.Nandhini, Ms.S.Ramadevi

    This project deals with the detection and recognition of hand fingers counts. Pictures of the hand fingers counts are taken employing a net camera and matched with the photographs within the information and therefore the best match is returned. Fingers counts recognition is one among the essential techniques to make easy interfaces. For example, a mechanism which will acknowledge hand finger can take commands from humans

    AVISION BASED HAND GESTURE RECOGNITION SYSTEM USING DEEPLEARNING

    Dr.N.Revathy, Ms.S.Nandhini, Ms.S.Ramadevi

    AVISION BASED HAND GESTURE RECOGNITION

  • Design and Analysis of Sliding Segmental Retaining Wall Madhur Mahesh Gujrathi, Saurabh Sanjay Kasliwal, Rohit Kailas Pote

    Current invention provides especially designed and development of a sliding segmental retaining wall. This wall is intended to restrain against lateral earth thrust also just in case of cohesive soil, to avoid failure of wall, increasing the load carrying capacity and wall durable. Segmental wall is new concept which replaces modular block facing units with flexible facing units. this is often the primary first Reinforced Cement Concrete

    Design and Analysis of Sliding Segmental Retaining Wall

    Madhur Mahesh Gujrathi, Saurabh Sanjay Kasliwal, Rohit Kailas Pote

    Design and Analysis of Sliding Segmental

  • A Study on Industrial Applications and Link Designs of Modular Manipulators Rachit Shukla, Himanshu Gaurav, Aniket Singh, Rakesh Dhiman

    In industrial robots, there are numerous common kinematic structures, the most popular of which is a sixaxis angular structure. Researchers are working with task-based mechanism synthesis, which could result in improved efficiency using custom-optimized manipulators. The most efficient optimization technique for task-based robot manipulators has been the subject of numerous studies

    A Study on Industrial Applications and Link Designs of Modular Manipulators

    Rachit Shukla, Himanshu Gaurav, Aniket Singh, Rakesh Dhiman

    A Study on Industrial Applications and Link

  • Application of Deep Learning and Machine Learning in diagnosing Coronavirus disease Manas Sahni, Prashant Kumar, Gagandeep Kumar, Manas Srivastava, Madhu Gautam

    As of Feb 2022, the coronavirus instance in the world crossed 400 million and over 5.5 million deaths. The virus has spread to every continent. This review paper summarizes the current studies of deep learning and machine learning in diagnosing COVID. Currently, we use RT-PCR (reverse transcription-polymerase chain reaction) to diagnose viruses in the subjects, but researchers are finding alternative ways using the radiographic data

    Application of Deep Learning and Machine Learning in diagnosing Coronavirus disease

    Manas Sahni, Prashant Kumar, Gagandeep Kumar, Manas Srivastava, Madhu Gautam

    Application of Deep Learning and Machine

  • Artificial Intelligence Based Ann Object Recognition and Detection MAGESH KUMAR R, REVATHY. N.

    Millions of people live in this world with disabilities in understanding the environment due to visual impairments. Although they can develop choices in dealing with daily schedules, they endure some road challenges and social awkwardness. For example, it is very difficult for them to find a specific room in a new environment. And blinding and seemingly impaired people have a hard time telling if a person is talking to them.

    Artificial Intelligence Based Ann Object Recognition and Detection

    MAGESH KUMAR R, REVATHY. N.

    Artificial Intelligence Based Ann Object

  • A Comparison of Scrum, Kanban with their Hybrids - Scrumban and Scrumbanfall to identify Er. Damanpreet Kaur

    The Underlying cause for a successful operation and the completion of a Project is the Project Management framework used which affects its efficiency, project oriented operations, and thus business processes and its market. Software development can be defined as creating new software or fixing the existing one. Technology developments led to increasing demand for software. IT Companies should be able to project well maintenance

    A Comparison of Scrum, Kanban with their Hybrids - Scrumban and Scrumbanfall to identify

    Er. Damanpreet Kaur

    A Comparison of Scrum, Kanban with their Hybrids

  • Optimization Technique for Determining Reservoir Capacity Pavan Kumar Varshney, Shubham Kumar, Iwansh Gupta, Vishal Pratap, Himanshu Kandpal

    Sustainability of reservoirs implies a need for the control and adjustment of reservoir planning and operation characteristics, resulting in optimal, or near optimal system performance throughout the life time of the reservoir. However, the construction of a reservoir has need of large costs; optimum dimensioning of such storage facilities is very significant together with the optimal operation

    Optimization Technique for Determining Reservoir Capacity

    Pavan Kumar Varshney, Shubham Kumar, Iwansh Gupta, Vishal Pratap, Himanshu Kandpal

    Optimization Technique for Determining Reservoir Capacity

  • Cloud Computing – Based Image Data Model Optimization Approach Dr. Vineetha KR, Muneer S

    The amount of data has grown to incredible dimensions in our modern age of data explosion. The majority of these files are digital image files. The desire for networked work and living is growing in tandem with scientific and technological advancements. In both life and work, cloud computing is becoming increasingly vital. This research investigates visual data recognition models for cloud computing. In a cloud computing platform

    Cloud Computing – Based Image Data Model Optimization Approach

    Dr. Vineetha KR, Muneer S

    Cloud Computing – Based Image Data Model

  • Reliability Analysis of Footwear Considering Mechanical and Electrical faults Rinku, Pooja Bhatia

    The purpose of present paper is to analyze the performance of a footwear machine using stochastic modeling of a single unit considering mechanical and electrical type of faults and removal by repair/replacement of different parts during operation of the machine. These faults are further divided into minor, major and neglected faults. On occurrence of minor faults, machine is working with partial efficiency.

    Reliability Analysis of Footwear Considering Mechanical and Electrical faults

    Rinku, Pooja Bhatia

    Reliability Analysis of Footwear

  • Microstructural Study and Mechanical Properties of Al2O3 Reinforced Al 1100 (Mg) Hot Extruded Composites Vinuth Kumar K. L.

    Aluminium Metal Matrix Composites are considered as conventional materials in the fields of aerospace, automotive and marine applications due to their improved properties like high strength to weight ratio, good wear resistance etc. Hot Extrusion of the reinforced AMMCs can lead to break up of particle agglomerates, reduction of porosity, and improved bonding, all of which contribute to improve the mechanical properties

    Microstructural Study and Mechanical Properties of Al2O3 Reinforced Al 1100 (Mg) Hot Extruded Composites

    Vinuth Kumar K. L.

    Microstructural Study and Mechanical

  • Analysis of Human's Emotional Expression: A Review Vaishnavi Borgaonkar, Prof. Sarita Sanap

    Facial emotions are important factors in human communication that help us understand the intentions of others. In general, people infer the emotional states of other people, such as joy, sadness, and anger, using facial expressions and vocal tone. According to different surveys verbal components convey one-third of human communication, and nonverbal components convey two-thirds. Among several nonverbal components

    Analysis of Human's Emotional Expression: A Review

    Vaishnavi Borgaonkar, Prof. Sarita Sanap

    Analysis of Human's Emotional Expression

  • Mapping User Skills to Predict Suitable Job Domains Using Data Mining Techniques Atharva Dhanwate, Hariharan Iyer, Kunal Chaudhary, Ditty Varghese

    To develop an ingenious web application with the aim of solving challenges that concern predicting the most optimum and suitable job profile for a user. Job choosing is one of the most important decisions that every student has to take once they graduate.This project concentrates on making this decision making process more efficient and accurate for all the IT graduates so that they can opt for the best suitable domains

    Mapping User Skills to Predict Suitable Job Domains Using Data Mining Techniques

    Atharva Dhanwate, Hariharan Iyer, Kunal Chaudhary, Ditty Varghese

    Mapping User Skills to Predict Suitable Job

  • Design and Optimization of CNC Milling Machine’s Structural bed using parametric analysis Dr. C P Patel, Mr. Shubham Patel

    In the area of engineering, the solution of many complex issues is virtually endless, and analytical methods are almost always ineffective. Machine tools are utilized in industrial operations for high precision and reproducibility. Several components, such as the base, machine table, saddle, knee, headstock, and column, are often the essential pieces of machine tools in order to achieve reliable operation

    Design and Optimization of CNC Milling Machine’s Structural bed using parametric analysis

    Dr. C P Patel, Mr. Shubham Patel

    Design and Optimization of CNC Milling

  • Analyzing the urban forms in relation to sustainability in the capital city, Bhopal Eti Sharma, Mrs. Archana Gaikwad

    Considering the present scenario, it is quite evident that cities are dealing with abrupt expansion and population outgrowth. Our needs are contradictory to our want, resulting in imbalance between economy and ecology. Hence, there is a sudden need to come up with infrastructure solutions which give sustainable future a strong foundation and at the same time bear the shock of the circumstances future changes might bring.

    Analyzing the urban forms in relation to sustainability in the capital city, Bhopal

    Eti Sharma, Mrs. Archana Gaikwad

    Analyzing the urban forms in relation

  • Automated Face Recognition System by PCA and DWT Feature Engineering with Optimized Machine Learning Methods Bibek Ranjan Ghosh

    The Principal Component Analysis (PCA) is a technique that reduces data dimension by synthesizing important representative features. Discrete Wavelet Transform (DWT) is a strong signal processing tool that can analyze the image in multi-resolutions and can discover significant features like edges. Properly trained supervised machine learning models can recognize input face pretty correctly. In this work face features extracted using PCA

    Automated Face Recognition System by PCA and DWT Feature Engineering with Optimized Machine Learning Methods

    Bibek Ranjan Ghosh

    Automated Face Recognition System by PCA

  • Performance Evaluation of Labor Productivity for High Rise Buildings Ms. Varsha R. Borole, Dr. Ghanasham Sarode

    Due to a lack of space in developing countries, the development of high rise building in city areas has increased. To save money, high rise buildings in developing countries are constructed using a combination of manpower and equipment. The interaction of people and equipment, particularly in fundamental operations like concreting, reinforcing, formwork, blockwork, and plastering, has an impact on both resources' output.

    Performance Evaluation of Labor Productivity for High Rise Buildings

    Ms. Varsha R. Borole, Dr. Ghanasham Sarode

    Performance Evaluation of Labor

  • Conceptual Design, analysis, and 3D Printing of modified assembly of SMART DRONE Gujar Hitesh Prabhakar, Prof. S.S. Adewar

    An increase in demand for drones and also the uses of the drone for various applications, has brought engagement of people from various fields, which leads to competition in the market, to discover new technologies in the field of drones, considering their high efficiency and the safety. For the development of analysis, Ansys software is used for better prediction of the final structure. In this work, a new model is designed and analyzed

    Conceptual Design, analysis, and 3D Printing of modified assembly of SMART DRONE

    Gujar Hitesh Prabhakar, Prof. S.S. Adewar

    Conceptual Design, analysis, and 3D

  • Experimentation and Simulation of Single Point Incremental Sheet Forming Metal by Using the ANSYS Pratiksha Kolekar, Prof .S.S. Adewar

    The single point incremental forming process is commonly used for the production of sheet metal. Unlike die-based processes, this method does not require a die to be used. It is a highly versatile process that can be easily implemented in the small and batch production. The analysis of this process by ANSYS is performed to determine the optimal design and implementation of the process. Although there are many software available for analyzing

    Experimentation and Simulation of Single Point Incremental Sheet Forming Metal by Using the ANSYS

    Pratiksha Kolekar, Prof .S.S. Adewar

    Experimentation and Simulation of Single Point

  • DEEP PCB TO COCO CONVERTOR Genti Sreeja, Dr K S Sudeep, Allena Venkata Sai Abhishek

    Millions of datasets and many models use the input datasets in COCO format. In this paper, we are converting the Deep PCB dataset to COCO format. The Deep PCB is a manufacturing defect data set. It has 1500 image pairs. Each has a template image & a test image. The template image has no defects & corresponding test image that has some defects with the annotations in a text file. The MS COCO (Microsoft Common Objects in Context).

    DEEP PCB TO COCO CONVERTOR

    Genti Sreeja, Dr K S Sudeep, Allena Venkata Sai Abhishek

    DEEP PCB TO COCO CONVERTOR

  • IOT Based Solar Grid Monitoring and Performance Analysis System Taskin Hayat, Namrata Kataki

    Sun power is a standout amongst the most productive yet clean wellsprings of natural energy. There are no expanded fuel expenses or conditions, no connections to toxins, and it's both dependable and reasonable. The solar grid uses sun’s energy to generate electricity for various uses. In solar grid system the electricity produced by the system is routed to the grid from where it is used to run the various appliances

    IOT Based Solar Grid Monitoring and Performance Analysis System

    Taskin Hayat, Namrata Kataki

    IOT Based Solar Grid Monitoring

  • Elderly Health Care Using IOT Sneha A. Patil, Sejal A. Tripathi, Manasi A. Shedale, Aparna P. Bhonde

    Remote health monitoring can provide useful physiological information in the home. This monitoring is useful for elderly or chronically ill patients who would like to avoid a long hospital stay. Wireless sensors are used to collect and transmit signals of interest and a processor is programmed to receive and automatically analyze the sensor signals. In this project, you are to choose appropriate sensors

    Elderly Health Care Using IOT

    Sneha A. Patil, Sejal A. Tripathi, Manasi A. Shedale, Aparna P. Bhonde

    Elderly Health Care Using IOT

  • Demolished Construction Material Waste Management: Review Ms. Sakshi Sadgir, Dr. Deepa Joshi

    Huge quantities of construction resources are obligatory in budding countries directly to nonstop infrastructural escalation and in addition enormous quantities of construction and annihilation wastes are generated every day in rising countries like India. The disposal of this desecrate is a fantastically genuine obstacle as on one quality it requires giant interval for its disposal despite the fact

    Demolished Construction Material Waste Management: Review

    Ms. Sakshi Sadgir, Dr. Deepa Joshi

    Demolished Construction Material Waste

  • MATLAB Application in Vibration Study Neel Suratwala, Mahesh Kulkarni

    Vibration are harmful in number of ways to machines and equipment. To control vibration, study and analysis is pivotal. Vibration protecting mechanisms or Vibration Isolators are designed based on analysis of vibration behaviour. MATLAB computer program is used in this research to fulfil the design and analysis goals. A Mathematical Model is developed, which defines system and provides output in terms of isolator properties

    MATLAB Application in Vibration Study

    Neel Suratwala, Mahesh Kulkarni

    MATLAB Application in Vibration Study

  • Application of Controlled Low Strength Materials as a Backfill QUDSIYA ZAHERA HAIDRY

    Controlled low strength material (CLSM) is a highly flowable material comprised water, cement, and fly ash (FA) but often contain waste by-product material. These are characterized by very high workability and lesser compressive strength. CLSM is used mainly for filling cavities and trenches in civil engineering works where the application of granular fill is either impossible or difficult. CLSM’s are engineered materials

    Application of Controlled Low Strength Materials as a Backfill

    QUDSIYA ZAHERA HAIDRY

    Application of Controlled Low Strength

  • Damping and Thermal Properties of Al/Al2O3 MMCs – A Comparative Study Dr. Madhu. B. V, Dr. M. Krishna

    Nowadays it is commonly considered that high damping and low thermal expansion material which have good mechanical properties used as structural materials for different applications. The present investigation is based on the effect of thermal residual stresses on the both thermal expansion and damping behavior of Al/Al2O3 metal matrix composites (MMCs). MMCs processed by compocasting technique with 5, 10 and 15% by weight

    Damping and Thermal Properties of Al/Al2O3 MMCs – A Comparative Study

    Dr. Madhu. B. V, Dr. M. Krishna

    Damping and Thermal Properties of Al/Al2O3 MMCs

  • Optimization of Continuous Acceptance Sampling Plans for Truncated Nadarajah-Haghighi Distribution P. Adisekhara Reddy, P. Mohammed Akhtar, G. Venkatesulu, N. Annapurna

    Acceptance sampling plans are used primarily to accept or reject lots of finished products. There are several methods for controlling the quality. It is impossible to perform a 100% inspection of crackers, bullets, batteries, bulbs and so forth which can be tested using some of these techniques. The paper presents CASP-CUSUM Schemes that take into account a truncated Nadarajah-Haghighi distribution

    Optimization of Continuous Acceptance Sampling Plans for Truncated Nadarajah-Haghighi Distribution

    P. Adisekhara Reddy, P. Mohammed Akhtar, G. Venkatesulu, N. Annapurna

    Optimization of Continuous Acceptance

  • Effect of a persuasive message on prosocial behavior among adolescents Dr. Saranya TS, Munish Kumar

    Helping others is a character choice, however many times, outside elements have an effect on our selection to help others. A small message or video can maximum of the time impact human beings to be concerned in greater prosocial sports like donating cash for a social cause, agreeing for organ donation, blood donation, etc. The researchers attempted to discover the impact of the persuasive message on teenagers’ selection.

    Effect of a persuasive message on prosocial behavior among adolescents

    Dr. Saranya TS, Munish Kumar

    Effect of a persuasive message

  • Impact of education on community development in duvvada village of visakhapatnam district Dr. Ch. Asha Kiran Raju, Prof. T. Sobha Sri

    Over the last decade or so, the concept of social capital has grown in importance in relation to a number of related fields of study, including the identification of factors influencing educational attainment, explanations of differing levels of participation in formal and informal education, and conditions required for the construction and enhancement of institutions and practises conducive to lifelong learning

    Impact of education on community development in duvvada village of visakhapatnam district

    Dr. Ch. Asha Kiran Raju, Prof. T. Sobha Sri

    Impact of education on community

  • Digital Terrain Analysis of Tapi River Basin in Gujarat, India Gunjan R. Chauhan, Hiren Kumar J. Chaudhari

    With the new advancements in GIS techniques and better computer aid, the projects that require field exploration, can now be carried out digitally with ease. In the present paper a digital terrain analysis is performed using QGIS software with SAGA plugin. QGIS version 3.22.2 and SAGA 7.8.2 is utilized in present study. The study area is of Tapi river basin in Gujarat which is Surat district. The raw data is collected

    Digital Terrain Analysis of Tapi River Basin in Gujarat, India

    Gunjan R. Chauhan, Hiren Kumar J. Chaudhari

    Digital Terrain Analysis of Tapi

  • Water Demand Assessment: A case study of Cantonment area Agra Rajat Diwakar, Raghvendra Singh, Kamini Yadav, Shivam Dhakre, Devesh Jaysawal

    Water is the lifeline for nature and human. Water is the first essential thing that human need. Scarcity of potable water is a big problem in Agra region because ground water of Agra is not drinkable due to excess hardness and saline taste and Yamuna river which is flowing through Agra is heavenly polluted. Ganga Jal supply is a big project launched in 2020 which has been corrected this deficiency on a large extent.

    Water Demand Assessment: A case study of Cantonment area Agra

    Rajat Diwakar, Raghvendra Singh, Kamini Yadav, Shivam Dhakre, Devesh Jaysawal

    Water Demand Assessment

  • Socio Economic Condition of Tuk-Tuk Drivers and Problem Related to Tuk-Tuk Driving Mousumi Das

    Nowadays, E-Rickshaw is new the most popular short-distance mode of transport in the urban transport system, locally called Tuk-Tuk. This has made it possible to transport people and goods from one place in the city to other. It is an eco-friendly transportation system. Many people from different wards of Berhampore Municipality have found a new way to earn a living through it. But, unplanned urbanization, lack of road space.

    Socio Economic Condition of Tuk-Tuk Drivers and Problem Related to Tuk-Tuk Driving

    Mousumi Das

    Socio Economic Condition of Tuk-Tuk

  • Biomedical Waste Segregation and Management Nita Patil, Aniket Wagh, Pintu Mishra, Subodh Shinde, Aniket Koli

    Hospitals have been producing waste on a very large scale. The corresponding waste is of many types like wet, dry, metallic, and so on. So, segregation of waste becomes a prominent factor since segregating waste at the dumping ground is burdensome and usually ineffective. This paper aims to design such a model for the segregation of waste in mainly 3 categories such as non-metallic dry, non-metallic wet, and metallic waste

    Biomedical Waste Segregation and Management

    Nita Patil, Aniket Wagh, Pintu Mishra, Subodh Shinde, Aniket Koli

    Biomedical Waste Segregation and Management

  • Elasto-Plastic Analysis of Multi-Storey Building using BIM Kiran N. Hatwar, Mr. Sanjay K. Bhadke, Mr. Amey R. Khedikar

    The construction industry is moving towards digitalization, with greater amount of information being stored digitally. This development is being addressed by Building Information Modelling (BIM) technology. BIM is process of creating virtual building model which is parametric in nature, supporting collaboration among different specialists, provides the ability to analyse the building in simulated 3-D environment

    Elasto-Plastic Analysis of Multi-Storey Building using BIM

    Kiran N. Hatwar, Mr. Sanjay K. Bhadke, Mr. Amey R. Khedikar

    Elasto-Plastic Analysis of Multi

  • Effective Fare Prediction using Machine Learning Algorithms Dr. K Anuradha, Ashika Jayaraj

    Predictive analytics makes use of historical data to forecast future events. Past data is typically used to create a mathematical model that captures significant trends. The predictive model is then used to current data in order to forecast the future or advise actions to take in order to achieve the best results. Due to advancements in supporting technology, particularly in the fields of big data and machine learning

    Effective Fare Prediction using Machine Learning Algorithms

    Dr. K Anuradha, Ashika Jayaraj

    Effective Fare Prediction using Machine

  • Smart Disease Predictor Using Machine Learning Navaneetha Krishnan M, Prasanth G, Gowtham R

    Most of the present machine studying sickness prediction models for health care prediction focus on a single illness per analysis. One analysis may be for heart illness, another for cancer, and still another for diabetic problems. There's no single system in which one evaluation can carry out multiple disease illness prediction. This article proposes a system that uses machine learning and the Flask API to forecast numerous illnesses.

    Smart Disease Predictor Using Machine Learning

    Navaneetha Krishnan M, Prasanth G, Gowtham R

    Smart Disease Predictor Using Machine Learning

  • Criminal Face Detection Navaneetha Krishnan M, Kiyasudeen Jamal M

    A surge of organised crime activity is likely to try to weaken our law enforcement and defence agencies. In this case, technology plays a critical role. Video analytics is one facet of law enforcement's use of technology, and video analytics contains several components. Identifying patterns in different videos is one of the components. The goal is to study a 30-minute movie and capture the faces of the individuals in it.

    Criminal Face Detection

    Navaneetha Krishnan M, Kiyasudeen Jamal M

    Criminal Face Detection

  • Impact of Digital Marketing Strategies on The Marketing Effectiveness and Customer Satisfaction Dr. P. Jayarani, Mrs. Sonti Sushila Kishor

    Online advertising is a hard and fast of effective equipment and methodologies used for selling merchandise and carrier thru the net. Online advertising consists of a much broader variety of advertising factors than conventional enterprise advertising because of greater channels and advertising mechanism to be had at the net. Online advertising is marketing and marketing and advertising the goods

    Impact of Digital Marketing Strategies on The Marketing Effectiveness and Customer Satisfaction

    Dr. P. Jayarani, Mrs. Sonti Sushila Kishor

    Impact of Digital Marketing Strategies

  • Infrastructural Problems of Employees in Banking Services Dr. Anand T. Deshpande

    Infrastructure is a broad term, it includes various aspects like premises, flooring of the premises, space and so on. Infrastructure has a direct relationship with office lay out. The sitting arrangements, customer lobbies, safe custodies and record rooms form the part of infrastructure. Infrastructure before and after globalization

    Infrastructural Problems of Employees in Banking Services

    Dr. Anand T. Deshpande

    Infrastructural Problems of Employees

  • Review on Environmental sustainability of smallscale biomass power Technologies for agricultural communities in developing countries Mr. Gage Sachin M, Mr. Wani Chandrashekar N

    Agricultural wastes are readily available in farming communities and can be utilised for off-grid electrification as an alternative to diesel generators. This work evaluates for the first time the life cycle environmental sustainability of these small-scale systems in the context of Southeast Asia. Rice and coconut residues are considered for direct combustion and gasification, and livestock manure for anaerobic digestion

    Review on Environmental sustainability of smallscale biomass power Technologies for agricultural communities in developing countries

    Mr. Gage Sachin M, Mr. Wani Chandrashekar N

    Review on Environmental sustainability of smallscale

  • Analysis of Crime Against Women Using Machine Learning Algorithms Dr.K.Anuradha, K.Janani

    In worldwide Crime level is increasing every day. Offense can't be expected since it is either proficient or unplanned. Crime is a cost-effective trouble distressing life value and economic escalation. The particulars of how crime is performed revolutionize depending on the type of nation and society. Prior researches in crime prediction have originated that factors resembling education, deficiency, employment, and circumstances

    Analysis of Crime Against Women Using Machine Learning Algorithms

    Dr.K.Anuradha, K.Janani

    Evaluation of Career Guidance

  • Performance assessment of concrete produced using different types of surface water Nitin U.Thakare, Avinash N.Shrikhande

    This research looks into the possibility of using surface water as a concrete mixing water. Three types of surface water were employed as mixing water in concrete, including Futala lake water, Ambazari lake water, and Sonegaon lake water, and the results were compared to concrete created with potable water in terms of mechanical and durability aspects. The purpose of this experiment is to determine how impurities in surface water.

    Performance assessment of concrete produced using different types of surface water

    Nitin U.Thakare, Avinash N.Shrikhande

    Performance assessment of concrete

  • The Next Generation Digital Supply Chain L. PADMA

    This article review the state of the art of DSC with augment & change with the massive injection of new technologies. Companies, partners, dealers & suppliers in supply chains do use, generate and share information with each other. These associations lead to a multitude of challenges and opportunities with the supply chains. The Digital Supply Chain (DSC) is a value-driven, smart, efficient process to generate

    The Next Generation Digital Supply Chain

    L. PADMA

    The Next Generation Digital Supply Chain

  • An Application of Deep Learning Algorithm for Automatic Detection of Unexpected Accidents Under Bad CCTV Prof.Vishal Shinde, Miss.Sneha Shet, Miss.Sneha Chauhan, Miss.Suryanjali Verma

    Object Detection & Tracking System (ODTS) is combined with a popular deep learning network which is known as Faster RCNN (Faster Regional Convolution Neural Network), for Detecting the Object and Conventional Tracking of objects an algorithm is introduced and is applied for detecting and monitoring unexpected events automatically on CCTVs, the unexpected events can be Wrong-Way Driving or Stopping, Person getting out of the vehicle or Fire

    An Application of Deep Learning Algorithm for Automatic Detection of Unexpected Accidents Under Bad CCTV

    Prof.Vishal Shinde, Miss.Sneha Shet, Miss.Sneha Chauhan, Miss.Suryanjali Verma

    An Application of Deep Learning Algorithm

  • Applications of Machine Learning in The Field of Medical Care Prof. Swapnil Wani, Mr.Dipak Bochkari, Mr.Vivek Alaspure, Mr.Tushar Thube

    These years, with ML and AI becoming the hotspot of research, several applications have come forth in each of these areas. It exists as a kind of academic frontier as well as something close to our life. In this trend, the combination of both medical field and machine learning become more emerging. This research paper proposes the idea which remarkably reduced the existing situation of unbalanced medical distribution and resources strain

    Applications of Machine Learning in The Field of Medical Care

    Prof. Swapnil Wani, Mr.Dipak Bochkari, Mr.Vivek Alaspure, Mr.Tushar Thube

    Applications of Machine Learning in The Field

  • Alzeimer Disease Prediction Using Machine Learning Algorithms Prof. Satish Manje, Miss.Chetana Vishe, Miss.Niharika Dhanik, Miss.Namita Sonavane

    Alzheimer's complaint is the one amongst neurodegenerative diseases. This complaint is a grueling bone because there's no treatment for the complaint. Opinion of the complaint is done but that too at the after stage only. Therefore if the complaint is prognosticated before, the progression of the symptoms of the complaint can be braked down. This paper uses machine literacy algorithms to prognosticate Alzheimer's complaints using cerebral parameters

    Alzeimer Disease Prediction Using Machine Learning Algorithms

    Prof. Satish Manje, Miss.Chetana Vishe, Miss.Niharika Dhanik, Miss.Namita Sonavane

    Alzeimer Disease Prediction Using Machine Learning

  • Design of a restaurant billing system and data billing synchronization between branches Prof. Swapnil Wani, Mr,Shubham Vekhande, Mr.Sudhir Guntha, Mr.Saurabh Jain

    In recent years, the restaurant industry has been one of the most well-known and in-demand industries. E-Bill Resto is a restaurant billing system that was created by collaborating with a number of selling locations/restaurants under the same brand name, all of which are linked to the main firm via a database server. All revenue from restaurant sales may be tracked in real time with an integrated system

    Design of a restaurant billing system and data billing synchronization between branches

    Prof. Swapnil Wani, Mr,Shubham Vekhande, Mr.Sudhir Guntha, Mr.Saurabh Jain

    Design of a restaurant billing system

  • Location Prediction On Twitter Using Machine Learning Techniques Prof.Swapnil Wani, Mr.Shashank Barve, Mr.Prathamesh Khedekar, Mr.Ankit Yadav

    This project predicts the position of a user from the text content of a tweet by applying machine learning methods like Support Vector Machine, Naive Bayes, & Decision Tree. These days, predicting location of a user from various social media sites requires extensive research. For decades, researchers have been researching the automatic detection of places associated with or most relevant to records. As a most visited social networking site

    Location Prediction On Twitter Using Machine Learning Techniques

    Prof.Swapnil Wani, Mr.Shashank Barve, Mr.Prathamesh Khedekar, Mr.Ankit Yadav

    Location Prediction On Twitter Using Machine

  • Provably Secure and Light Weight Identification Based Data Sharing Protocol in Cloud Environment Prof.Vishal Shinde, Mr. Rushabh Baranwal, Mr. Vignesh Elagandula, Mr. Shubham Tripathi

    In a cyber-physical cloud context, Share and store files that is both secure and efficient via authorized physical devices remains a challenge, especially given the variety of devices to obtain access to the service and data. As a result, we describe a lightweight identity-based authenticated data sharing protocol in this work, which allows for safe data exchange among geographically separated objects and clients

    Provably Secure and Light Weight Identification Based Data Sharing Protocol in Cloud Environment

    Prof.Vishal Shinde, Mr. Rushabh Baranwal, Mr. Vignesh Elagandula, Mr. Shubham Tripathi

    Provably Secure and Light Weight Identification

  • Arduino Based Voice Control Robot with Lazer Security Prof. Satish Manje, Mr.Atul Yadav, Mr.Abhishek Shinde, Mr.Bipin Yadav

    This study present how a robot responds to voice input. This paper illustrates how a robot interacts with a human by responding to voice commands. This system is quite quick. The first portion of this system is a voice recognition system, followed by a central controller system, and finally a robot. The employment of robots in today's world has spread from industries to everyday life. A healthy interface between people and robotics is critical

    Arduino Based Voice Control Robot with Lazer Security

    Prof. Satish Manje, Mr.Atul Yadav, Mr.Abhishek Shinde, Mr.Bipin Yadav

    Arduino Based Voice Control Robot

  • Analysis of Machine Learning Classifiers for Breast Cancer Diagnosis Prof. Satish Manje, Mr.Sainathreddy Bonthu, Mr.Arun Elavarasan, Mr.Aniket Gupta

    Breast cancer is a form of cancer which originates in breasts of women. Cancer is caused by uncontrolled cell division or expansion. Breast cancer cells usually form a tumor that can be seen on an X-ray. Breast cancer has become one of the most well-known illnesses among women, resulting in the death of the most prevalent malignancies in women. Early treatment helps to cure malignant growth and prevent its recurrence

    Analysis of Machine Learning Classifiers for Breast Cancer Diagnosis

    Prof. Satish Manje, Mr.Sainathreddy Bonthu, Mr.Arun Elavarasan, Mr.Aniket Gupta

    Analysis of Machine Learning Classifiers

  • Implementation of Machine Learning Algorithm on Factors Effecting Divorce Rate Prof. Swapnil Wani, Mr.Soham Patil, Miss.Viral Jangale, Miss.Mayuri Baviskar

    As the number of marriages are growing, so does the amount of detachment and separation. The major factors that prompt separation can be numerous, and machine performed different computations to determine how to characterize the variables. The amount of separation can be reduced by this project as this will consists of possible factors leading to divorce. A sample data set has some main features that cause divorce

    Implementation of Machine Learning Algorithm on Factors Effecting Divorce Rate

    Prof. Swapnil Wani, Mr.Soham Patil, Miss.Viral Jangale, Miss.Mayuri Baviskar

    Implementation of Machine Learning Algorithm

  • House Price Prediction System Using Machine Learning Prof. Gayatri Naik, Master.Dhruv Patil, Master.Rohit Kore, Miss.Priti Ingale

    With the help of Python modules, this paper gives an overview of how to predict house expenses using various regression models. The proposed technique took into accountthe more refined components of the property price calculation and offered a more accurate projection. It also goes over the many graphical and numerical techniques that will be used to predict the price of a home. This paper explains what a machine learning-based house

    House Price Prediction System Using Machine Learning

    Prof. Gayatri Naik, Master.Dhruv Patil, Master.Rohit Kore, Miss.Priti Ingale

    House Price Prediction System Using Machine Learning

  • Tourist Place Reviews Sentiment Classification Using Machine Learning Techniques Prof. Gayatri Naik, Mr. Sushant Wani, Mr. Rushikesh Pawar, Mr. Rohan Randhir

    Social networking is getting increasingly popular these days. On tourism websites, millions of users evaluate and rate tourist attractions every day. These reviews may be subjected to sentiment analysis, which will aid in determining the popularity of tourism destinations. A ML approach was used to implement sentiment analysis in this research The information came from a number of different travel review websites. The feature extraction techniques

    Tourist Place Reviews Sentiment Classification Using Machine Learning Techniques

    Prof. Gayatri Naik, Mr. Sushant Wani, Mr. Rushikesh Pawar, Mr. Rohan Randhir

    Tourist Place Reviews Sentiment Classification

  • Machine Learning for Web Vulnerability Detection:The Case of Cross-Site Request Forgery Prof.Kanchan Umavane, Mr. Kunal Jain, Prathamesh Vishwakarma, Manoj Verma

    In this research, author present an approach for detecting web application vulnerabilities using Machine Learning (ML). Due to their diversity and broad use of bespoke programming approaches, web applications are particularly difficult to analyses. As a result, machine learning highly valuable in web security: It might blend human understanding of web app semantics into mechanized analysis techniques using manually explained data

    Machine Learning for Web Vulnerability Detection:The Case of Cross-Site Request Forgery

    Prof.Kanchan Umavane, Mr. Kunal Jain, Prathamesh Vishwakarma, Manoj Verma

    Machine Learning for Web Vulnerability

  • A Lightweight Secure Data Sharing Scheme for Mobile Cloud Computing Prof. Kanchan Umavane, Miss. Nidhi Sharma, Miss. Vrushali Gadhari, Miss.Vedangi Pawar, Mr. S Mohd Huzaifa

    the widespread cloud computing technology, smart phones may now store and access personal information from any location at any time. Consequently, the database security issue in mobile cloud is becoming increasingly serious, impeding the mobile phone usage is increasing cloud. There have been numerous studies undertaken to increase cloud security. However, because mobile devices have very limited processing abilities and power

    A Lightweight Secure Data Sharing Scheme for Mobile Cloud Computing

    Prof. Kanchan Umavane, Miss. Nidhi Sharma, Miss. Vrushali Gadhari, Miss.Vedangi Pawar, Mr. S Mohd Huzaifa

    A Lightweight Secure Data Sharing Scheme

  • Search Rank Fraud and Malware Detection in Google Play Prof. Vishal Shinde, Miss.Sheetal Shilwant, Miss.Akshata Potale, Mr.Prathamesh Sawant

    Fake methods of behaving in Google Play, the brilliant widely known Android software market, gasoline seek rank maltreatment and malware has been elevated in massive number. In this paper, we use framework that serves to unearths and use follows left behind, to differentiate each malware and packages uncovered to appearance rank extortion. FairPlay accomplishes greater than 95% precision in arranging great pleasant stage datasets of fake and legit apps

    Search Rank Fraud and Malware Detection in Google Play

    Prof. Vishal Shinde, Miss.Sheetal Shilwant, Miss.Akshata Potale, Mr.Prathamesh Sawant

    Search Rank Fraud and Malware Detection in Google Play

  • A Study of Blockchain Technology in Farmer's Portal Prof. Namrata Shinde, Miss.Pratima Yadav, Miss.Pranali Pashte, Miss.Ruchita Patil, Miss.Komal Awar

    Blockchain may be a methodology within which a authentication of a transaction is unbroken by betokens that of a crypto-currency. The record is maintained transversally, linking many computers during a peer to look network. Agreement, transactions, and therefore the documentation of them outline the economic system of a rustic. They set boundaries and supply security to the assets. Considering the options of blockchain

    A Study of Blockchain Technology in Farmer's Portal

    Prof. Namrata Shinde, Miss.Pratima Yadav, Miss.Pranali Pashte, Miss.Ruchita Patil, Miss.Komal Awar

    A Study of Blockchain Technology in Farmer's Portal

  • Connecting Social Media To E-Commerce Cold-Start Product Recommendation Using Microblogging Information Prof. Namrata Shinde, Miss. Pradnya Panmand, Miss. Pranjali Kapate, Miss. Aditi Hedau

    In last few years, the bounds in the middle of e-commerce and social media have become increasingly dim. Many e-commerce websites support a public login system where buyer can sign up for websites using their social website. network identity such as their Facebook or Instagram accounts. this paper prefer a new solution for a product that starts in the cold recommendation, which aims to recommend products from electronic commerce web pages

    Connecting Social Media To E-Commerce Cold-Start Product Recommendation Using Microblogging Information

    Prof. Namrata Shinde, Miss. Pradnya Panmand, Miss. Pranjali Kapate, Miss. Aditi Hedau

    Connecting Social Media To E-Commerce Cold-Start

  • Blockchain as a Platform for Secure Cloud Computing Services Prof. Vishal Shinde, Mr. Jas Verma, Miss. Mayuri Pawar, Miss. Ruchita Gaikwad

    In recent years problems associated with cyber-attacks and privacy of data have increased which is resulting in the speedy growth of Cloud Computing. Secure cloud computing services gets connected on a blockchain platform with the support of this work, which is called cloud@blockchain, which enjoy the notoriety and unchangeable side of blockchain. Cloud@blockchain designs two functions- unidentified file sharing and evaluation

    Blockchain as a Platform for Secure Cloud Computing Services

    Prof. Vishal Shinde, Mr. Jas Verma, Miss. Mayuri Pawar, Miss. Ruchita Gaikwad

    Blockchain as a Platform for Secure Cloud

  • Predicting CO2 Emission Using Machine Learning Prof. Swapnil Wani, Mr. Akash Akhilesh Yadav, Mr.Mihir Mukesh Panchal, Mr. Prashant Vinod Pandey

    The Random Forest & SVM are put forward to estimate the outlay of CO2 outpouring. Energy expenditure, such as power and coal energy, is the cause of the aggressive growth in CO2 emissions. The aim is to track co2 emissions gleaned from electrical energy and coal utilized in the manufacturing process. In setup to train and test the model, the statistics on electrical and energy were obtained

    Predicting CO2 Emission Using Machine Learning

    Prof. Swapnil Wani, Mr. Akash Akhilesh Yadav, Mr.Mihir Mukesh Panchal, Mr. Prashant Vinod Pandey

    Predicting CO2 Emission Using Machine Learning

  • Tomato Leaves Diseases Detection Using Image Processing and Deep Learning Prof.Satish Manje, Mr. Trusharth Pawar, Mr. Khan M. Waseem, Miss.Sneha Sapale

    Tomato is a very popular crop, this paper tries to solve the disease-causing problems that farmers face. This research paper attempts to eliminate the harmful side effects of chemicals and pesticides with the help of the Image Processing system. In this study, 10 different types of tomato leaf disease were diagnosed including one healthy class. Farmers can use pictures of affected tomato leaves and it will predict disease

    Tomato Leaves Diseases Detection Using Image Processing and Deep Learning

    Prof.Satish Manje, Mr. Trusharth Pawar, Mr. Khan M. Waseem, Miss.Sneha Sapale

    Tomato Leaves Diseases Detection

  • Machine Learning Algorithm for Stroke Disease Classification Prof. Vishal Shinde, Mr.Nikhil Patil, Mr.Omkar Sonar, Mr.Nishant Shedage

    Stroke is the most significant element of death as well as obesity in various countries. This study analyzes CT scan image enhancement data for stroke patients by improving image quality to improve image effects and noise reduction, and using ML algorithms to separate patient images into two subtypes of stroke i.e. ischemic stroke and stroke haemorrhage. Eight ML algorithms are operated in this study to classify stroke i.e., Naive Bayes

    Machine Learning Algorithm for Stroke Disease Classification

    Prof. Vishal Shinde, Mr.Nikhil Patil, Mr.Omkar Sonar, Mr.Nishant Shedage

    Machine Learning Algorithm for Stroke Disease Classification

  • Analysis and Prediction of Cardiovascular Disease using Machine Learning Classifiers Prof. Vishal Shinde, Mr. Hrithik Kedare, Mr. Rahul Gupta, Mr. Vinit Mahajan

    Cardiovascular disorder refers to a variety of issues that encompass narrowed or blocked veins, which can result in a heart assault, chest pain (angina), or stroke. The condition is anticipated via the gadget gaining knowledge of classifier based at the nation of the patient's facet impact. This research is used to look at the presentation of system mastering Tree Classifiers inside the prediction of Cardiovascular disorder (CVD)

    Analysis and Prediction of Cardiovascular Disease using Machine Learning Classifiers

    Prof. Vishal Shinde, Mr. Hrithik Kedare, Mr. Rahul Gupta, Mr. Vinit Mahajan

    Analysis and Prediction of Cardiovascular

  • Performance Analysis of Machine Learning Classifier for Predicting Chronic Kidney Disease Prof. Vishal Shinde, Mr. Shubham Narayan Bhoir, Mr.Zaid Irfan Khan, Mr. Mrunal Umakant Nagmoti

    In today’s life everyone has been trying to be conscious about health due to workload and busy schedule this gives attention to the health when a it shows symptoms but chronic kidney disease does not shows particular symptoms it is difficult detect and predict, to prevent this best solution prediction and analysis this problem Chronic Kidney Disease (CKD) has the type of chronic disease which means that a it happened calmly over period of specific time

    Performance Analysis of Machine Learning Classifier for Predicting Chronic Kidney Disease

    Prof. Vishal Shinde, Mr. Shubham Narayan Bhoir, Mr.Zaid Irfan Khan, Mr. Mrunal Umakant Nagmoti

    Performance Analysis of Machine Learning

  • Content Analysis of Messages in Social Networks, Identification of Suicidal Types Prof.Satish Manje, Mr.Shubham Dhawale, Mr.Acchutam Kulthe, Mr.Rohit Ghoshtekar

    This project describes a content analysis of text to spot suicidal tendencies and kinds. This article describes the way to make a sentence classifier that uses a neural network created using various libraries created for machine learning within the Python programing language. Attention is paid to the matter of teenage suicide and «groups of death in social networks, the look for ways to prevent the propaganda of suicide among minors

    Content Analysis of Messages in Social Networks, Identification of Suicidal Types

    Prof.Satish Manje, Mr.Shubham Dhawale, Mr.Acchutam Kulthe, Mr.Rohit Ghoshtekar

    Content Analysis of Messages in Social

  • Survey on Machine Learning Techniques for The Diagnosis of Liver Disease Prof. Satish Manje, Miss.Tannaz Inamdar, Miss.Shivani Kamalekar, Miss. Akanksha Shaha

    Machine Learning Algorithm focuses on building the model using sample data which is known as training of the data for making decisions or predictions. The project focuses to give a survey and providing a comparative survey of the entire ML techniques for diagnosing and predicting liver disease in Medical Areas, which are been already used for predicting liver disease by several authors, and analyses are based on Sensitivity

    Survey on Machine Learning Techniques for The Diagnosis of Liver Disease

    Prof. Satish Manje, Miss.Tannaz Inamdar, Miss.Shivani Kamalekar, Miss. Akanksha Shaha

    Survey on Machine Learning Techniques

  • Federated Data Management Aggregation Framework by using NLP Prof. Swapnil Wani, Miss.Jyoti Gupta, Miss.Namrata Kasturi, Mr.Suraj Yadav

    Given the increasing range of heterogeneous information hold on in relative databases, file systems or cloud environments, it has to be simply accessed and semantically connected for any information analysis. The potential of information federation is essentially unrealized, this paper provides associate interactive information federation system by applying large-scale techniques as well as heterogeneous information federation

    Federated Data Management Aggregation Framework by using NLP

    Prof. Swapnil Wani, Miss.Jyoti Gupta, Miss.Namrata Kasturi, Mr.Suraj Yadav

    Federated Data Management Aggregation