Volume 08, Issue 01, APR 2022
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APT- Your Personal Trainer Aryan Ajay Singh, Chinmay Manoj Marathe, Dhruvin Bimal Kamani, Yash Surendra Sampat
The project focuses mainly on how effectively the user performs his/her exercise which helps them minimize the casualties that are associated with an improper form of their exercise. One of the significant researches in the last few years belong in the Computer Vision field especially in the Human Pose Estimation. In this project, pose estimation and deep machine learning techniques are combined to analyze the performance and report feedback
APT- Your Personal Trainer
Aryan Ajay Singh, Chinmay Manoj Marathe, Dhruvin Bimal Kamani, Yash Surendra SampatAPT- Your Personal Trainer
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Evaluate the Properties of Concrete Prepared Using Iron Slag by Partial Replacement of Sand Abrar Azad, Saurabh Gupta
Over the period of time people are getting aware about the problem people face due to waste produced from industries as it is non biodegradable and simply dumping it is not the real solution. The world is eagerly is carrying out the research over the properties of the waste produced from industries with an aim of utilizing the valuable component of the waste so that it could be partially or fully used as secondary raw material in other industrial branches
Evaluate the Properties of Concrete Prepared Using Iron Slag by Partial Replacement of Sand
Abrar Azad, Saurabh GuptaEvaluate the Properties of Concrete
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Stock Prediction and Analysis using Twitter Sentiments Hardik Lad, Jairaj Saraf, Siddhi Pawar, Vidya Chitre
Stock market prediction and its analysis are one of the most important topics of research in today’s world. Historical stock market data has proved to be insufficient in predicting upcoming stock performance. It is hard to predict stock price movement on basis of a single key factor. Historical data when amalgamated with public sentiments has proved to achieve more accurate predictions. In this paper, we propose a unified system that incorporates historical stock
Stock Prediction and Analysis using Twitter Sentiments
Hardik Lad, Jairaj Saraf, Siddhi Pawar, Vidya ChitreStock Prediction and Analysis using Twitter Sentiments
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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
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Different techniques of gray level transformation for image enhancement Aparna Shirkande, Snehal Sabale, Dr.S.T.Shirkande
In this paper we are analyzing different Gary level transformation techniques for image enhancement, enhancing an image provides the better quality if image as compare to non enhanced image. Image enhancement is used to enhance medical images, images captured in remote sensing, images from satellite etc. We discuss here some basic transformation techniques of gray level images. In this paper we are discussed about the techniques like negative
Different techniques of gray level transformation for image enhancement
Aparna Shirkande, Snehal Sabale, Dr.S.T.ShirkandeDifferent techniques of gray level transformation
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A Study on Change in Consumer Buying Behavior of Organic Food Products Post Covid 19 Pandemic Dr. R. Chitra, B. Subadra devi
Organic Agriculture is a creation framework that supports the strength of soils, environments, and individuals. It depends on natural procedures, biodiversity and cycles adjusted to nearby conditions, as opposed to the utilization of contributions with unfavorable impacts. Purchasers are on edge about food quality, creation methods and provenance and trust natural nourishments. The food related dynamic procedures is intricate and is affected by numerous determinants
A Study on Change in Consumer Buying Behavior of Organic Food Products Post Covid 19 Pandemic
Dr. R. Chitra, B. Subadra deviA Study on Change in Consumer Buying Behavior
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Automated Text Summarization using NLP Harshita Jain, Kevin Khimasia, Sejal Khedekar, Anjali Masur, Dr. Pravin Adivarekar
Text summarization involves generating a shorter version of any given text in the form of a summary that provides the entire gist without any loss of meaning. Its methods can be divided into two categories: extractive and abstractive summarization. The goal of extractive and abstractive summarizing is to provide a generalized summary that delivers information precisely, which usually necessitates the use of advanced language creation
Automated Text Summarization using NLP
Harshita Jain, Kevin Khimasia, Sejal Khedekar, Anjali Masur, Dr. Pravin AdivarekarAutomated Text Summarization using NLP
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Menu Recommendation System Utilizing Content-Based Filtering Techniques Yash Jain, Anushka Jain, Archana Kotangale
This project deals with a content-based recommender system for online food ordering applications using the expert system. The main goal of the recommender system is to propose and deliver suitable content to the user. We present an algorithm which adapts the content based on the user preference and the content viewed by the user. We propose a website that provides the user with the food item recommendation from the listed menu
Menu Recommendation System Utilizing Content-Based Filtering Techniques
Yash Jain, Anushka Jain, Archana KotangaleMenu Recommendation System Utilizing Content
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Surveillance System for Detecting Face-Mask Using Deep Learning Algorithms Pragatheeswari B K, Pradeepa K, Pavitra S, Jeba Rexciya M
COVID-19 is a big pandemic that is being faced by the whole world and there arises a severe need for a protection mechanism. As a Face mask is the primary one, every person must wear a mask. The project aims to detect the presence of a face mask on human faces on live streaming video. Deep learning has been used to develop our face detector model. The Single Shot Detector (SSD) is used for object detection purposes with its good performance accuracy
Surveillance System for Detecting Face-Mask Using Deep Learning Algorithms
Pragatheeswari B K, Pradeepa K, Pavitra S, Jeba Rexciya MSurveillance System for Detecting Face-Mask
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A Conceptual Framework for Sustainable Supply Chain Practices for the Pharmaceutical Industry Prof. R Nageswar Rao, Surekha Adiki
Sustainability is an important global subject, considering the current dynamic and ever-changing business environment and need to develop a sustainable supply chain framework, it is imperative to develop a contemporary sustainable framework for the Indian pharmaceutical supply chain, which caters to the needs of developing nations such as India considering indigenous economic, environmental, social, and cultural factors
A Conceptual Framework for Sustainable Supply Chain Practices for the Pharmaceutical Industry
Prof. R Nageswar Rao, Surekha AdikiA Conceptual Framework for Sustainable Supply
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Do The Organizational Culture Variables Impact The Faculty Members? Aaiman Siddiqui, Prof. Mahrukh Mirza
Organizational culture is a pivotal factor which affects the mental hygiene of the members of the organization. The culture of the organization may have both positive and negative impact on its members. The deriving factor for determining the culture of the organization is its variables. In this paper, titled as ‘Do the Organizational Culture Variables Impact the Faculty Members? : Excerpt of an Empirical Study on Higher Education Institutions
Do The Organizational Culture Variables Impact The Faculty Members?
Aaiman Siddiqui, Prof. Mahrukh MirzaDo The Organizational Culture
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Can Companies Achieve Sustainability on the Economic Dimension of A Sustainable Supply Chain Prof. R Nageswar Rao, Surekha Adiki
Companies operate to make profits and to contribute to social well-being. The pharmaceutical industry is beyond, it is responsible for social health beyond making profits. Implementing sustainability in the pharma industry across the supply chain is very crucial as it has a direct impact on people and their lives. On the other side, it is also important for the company to have a strong economic structure to survive
Can Companies Achieve Sustainability on the Economic Dimension of A Sustainable Supply Chain
Prof. R Nageswar Rao, Surekha AdikiCan Companies Achieve Sustainability
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An Analysis of Causativeness Association between Interest Rate and Stock Price Dr. Dharmananda M, Dr. Lakshmi H, Dr. Harisha B S
The research explores the association among the interest rate changes and Indian stock market for the selected public sector banks during January2021 to December2021. In particular, the banking sector is one of the most susceptible to interest rate The study investigated the two major banks of public sector namely SBI( State Bank of India and BOB( Bank of Baroda). Further, the association among the changes in the interest rate and the price
An Analysis of Causativeness Association between Interest Rate and Stock Price
Dr. Dharmananda M, Dr. Lakshmi H, Dr. Harisha B SAn Analysis of Causativeness Association
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Solar Powered Multifunction Pesticides Sprayer Dr. Sanjay D. Nikhade, Niket Nardewar, Mohmad Afzal, Mohmad Sameer, Mohmad Ehatesham, Ankur Hirekhan, Mohd Faizan Khan
In India, more than 74% of farmers are categorized as small landholding farmers. These farmers use the hand-operated sprayer for controlling pests in farms which is expensive and laborious work carried out by Indian farmers to protect their crops .solar operated sprayers are more beneficial for farmers. The solar-powered sprayer developed had higher output (0.3 hect /hr) with lower physiological energy consumption and discomfort
Solar Powered Multifunction Pesticides Sprayer
Dr. Sanjay D. Nikhade, Niket Nardewar, Mohmad Afzal, Mohmad Sameer, Mohmad Ehatesham, Ankur Hirekhan, Mohd Faizan KhanSolar Powered Multifunction Pesticides Sprayer
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Design, Analysis and Optimization of a Lightweight Vehicle's Leaf Springs Dr. Satish M. Silaskar, Dr. Sanjay Nikhade, Pranav Davane, Pravin Alone
In recent years, the automobile industry has primarily concentrated on reducing weight and improving ride quality. Because composite materials have a high strength-to-weight ratio, strong corrosion resistance, and tailorable qualities, Steel leaf springs are being phased out in favour of composite leaf springs in the automotive industry. Three strategies have been investigated to reduce vehicle weight: rationalizing the body structure
Design, Analysis and Optimization of a Lightweight Vehicle's Leaf Springs
Dr. Satish M. Silaskar, Dr. Sanjay Nikhade, Pranav Davane, Pravin AloneDesign, Analysis and Optimization of a Lightweight
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Dynamic Analysis of Intze Tank on SlopedGround Deeksha Jain, Deepak Kumar Bandewar, Sachin Jat
Reinforced concrete water retaining structures (underground, on the ground, and overhead) are most widely used in construction as they are rigid and are easyto construct. Water tanks are one of the most important lifeline structures. Water tanks form an integral part of thewater supply scheme in most cities and rural areas. India isa large country with diverse geographic conditions. Overhead water retaining structures (Intze tanks)
Dynamic Analysis of Intze Tank on SlopedGround
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Study of Railway Track Crack Detection System Roushan kumar Prasad, Dheeraj Kumar, Mr. Novel Kumar Sahu
Train accidents are not as common as road accidents. Indian Railway is the third-largest railway network in the world. This technology is robust, efficient, and stable for both crack and object detection in railway tracks. We have some problems with our railway track cracks. For example, the track contracts and expands due to changes in season. And the manual inspection and detection of cracks are very tedious processes. Rail surface defects
Study of Railway Track Crack Detection System
Roushan kumar Prasad, Dheeraj Kumar, Mr. Novel Kumar SahuStudy of Railway Track Crack Detection System
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Liquid fuel production from waste plastics by pyrolysis process and evaluation of its fuel properties P. Senthilkumar, G. Sankaranarayanan, S. Visvanath
Waste plastics have produced very serious environmental challenges due to their enormous quantities and problems involved in their disposal. The most attractive technique of chemical feedstock recycling process is pyrolysis. The oil is obtained by the pyrolysis process from the waste plastics can be utilized as an alternative fuel. Waste Plastic Oil (WPO) and diesel are compared the properties of the fuel such as calorific value, density, water
Liquid fuel production from waste plastics by pyrolysis process and evaluation of its fuel properties
P. Senthilkumar, G. Sankaranarayanan, S. VisvanathLiquid fuel production from waste plastics
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Financial Market Estimation Using LSTM Anmol Agarwal, Ashutosh Dubey, Preeti Naval
Stocks are possibly the most popular financial investment for building capital and are the core of any investment portfolio Predicting stock market returns is a challenging task due to consistently changing stocks values. Deep learning algorithms are used to build the models. A good accuracy is observed using LSTM algorithms on prediction model. Prediction model tries to evaluate whether there is any similarity between past data trends
Financial Market Estimation Using LSTM
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Ammonia Gas Sensing Properties of Aloevera Capped ZnO-CuO Mixed Nanomaterial Vibitha B V, Dr. Nisha J Tharayil
ZnO-CuO mixed nanomaterials have been synthesized using Aloe vera (Aloe Barbadansis) as a capping agent by adopting the chemical co-precipitation technique. The decomposition temperature of basic carbonate precursor for the preparation of ZnO-CuO mixed nanostructure is obtained from the thermogravimetric analysis. On the basis of TGA/DTA results, the prepared Aloevera capped carbonate precursor was decomposed at 3500C for 3 hours
Ammonia Gas Sensing Properties of Aloevera Capped ZnO-CuO Mixed Nanomaterial
Vibitha B V, Dr. Nisha J TharayilAmmonia Gas Sensing Properties of Aloevera
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KYC using De-centralized Private Blockchain Network Onkar Naik, Advait Nandeshwar, Pranav Kharat, Dr. Vaibhav Narawade
An ongoing problem in the banking industry is the KYC management system. This is a frustrating process as it involves the same process that has to be done at different customer centers thereby increasing costs. This process is also time-consuming for customers as the same process is done for each bank or bank they are wanting to work with. The personal experience of many customers reveals that this process should be simplified
KYC using De-centralized Private Blockchain Network
Onkar Naik, Advait Nandeshwar, Pranav Kharat, Dr. Vaibhav NarawadeKYC using De-centralized Private Blockchain Network
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E-Waste Management System using Blockchain Anuj S Mishra, Ishan Sathe, Prof. Archana Kotangale
We have become too dependent on technology owing to which the quantity of e-waste produced has increased at a rapid pace. On having known the growing amount of e-waste, the possibilities of these onbiodegradable elements contaminating the atmosphere are towering. To overcome this challenge, a blockchain-based e-waste management technique is proposed. The solution proposed in the paper tracks the e-waste
E-Waste Management System using Blockchain
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Academicians’ Under Stress: Organizational Factors - At A Glance Shubham Dadariya, Prof. Yashwant Singh Thakur
This study aims to look into the different factors that cause academic stress. Stress is especially prevalent in higher educationand it has a substantial influence on faculty members as theycontributeutmost to the organizational performance and growth. This study focused on numerous aspects that lead to stress in the organization of higher education. Several studies were considered, analyzed, and reviewed, it is critical to know
Academicians’ Under Stress: Organizational Factors - At A Glance
Shubham Dadariya, Prof. Yashwant Singh ThakurAcademicians' Under Stress: Organizational
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Studies on Awareness and Protection from Novel Coronavirus in Adivivaram Village Visakhapatnam Dr. Ch. Asha Kiran Raju, Prof. T. Sobha Sri
This research paper highlights the importance of slowing the spread of Caronavirus through validated public health. We carried out survey investigating the symptoms of Caronavirus in patients with illness, allowing analysis of symptoms over 12 months’ duration. The variables incorporated in the present study are education level, sources of water, food type, covid affected people, treatment process, necessary precautions etc.
Studies on Awareness and Protection from Novel Coronavirus in Adivivaram Village Visakhapatnam
Dr. Ch. Asha Kiran Raju, Prof. T. Sobha SriStudies on Awareness and Protection from Novel
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Movie Recommendation System Using Rest API And Sentiment Analysis Mirza Zulfiqar Ali Jaffer Ali, Jain Vandan Vinit Jain Jeel Jitendra, Rathod Yashi Sandeep, Dr. Rahul Ambekar
Finding useful information is becoming increasingly difficult as the Internet grows at a quicker rate. Information or content can take any form that users find appealing, such as music, video, photos, or text. As a result, recommendation algorithms come into play. Recommendation systems are a type of information filtering system that assists people in locating products, accurate information, and even other people. Books, news, articles
Movie Recommendation System Using Rest API And Sentiment Analysis
Mirza Zulfiqar Ali Jaffer Ali, Jain Vandan Vinit Jain Jeel Jitendra, Rathod Yashi Sandeep, Dr. Rahul AmbekarMovie Recommendation System Using Rest API
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Vickers Hardness of thermal cycled Ti-64 Alloy Submitted to Heat Treatments Putti Venkata Siva Teja, S Manikandan, Ayyagari Kiran Kumar
The purpose of this study was to evaluate the effect of thermal cycled – heat treatments over Ti-64 on Vickers Hardness testing. Ti-64 is an alloy, which can be heat treatable to various temperatures that contains alpha and beta stabilizers. Ti-64 alloys are mostly used in the light weight structural applications viz., aerospace structural elements, engine components, air frames etc. The present study is focused on two different types of heat treatments
Vickers Hardness of thermal cycled Ti-64 Alloy Submitted to Heat Treatments
Putti Venkata Siva Teja, S Manikandan, Ayyagari Kiran KumarVickers Hardness of thermal cycled Ti-64 Alloy
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Optimal Solution for Solving Intuitionistic Fuzzy Assignment Problem by New Labeling Algorithm Dr. B. Srinivas, N. Prudhvi, D. Vasantha Vichikala
In this paper a new labeling algorithm for finding an optimal solution for an intuitionistic triangular fuzzy optimal assignment problem is proposed. The main feature of this algorithm is that we determine the solution by finding an optimal matching in the corresponding bipartite graph by using a new labeling technique.
Optimal Solution for Solving Intuitionistic Fuzzy Assignment Problem by New Labeling Algorithm
Dr. B. Srinivas, N. Prudhvi, D. Vasantha VichikalaOptimal Solution for Solving Intuitionistic Fuzzy
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Medical Data Storage Using Blockchain Priyanka Paulraj, Sonali Sarkar, Shaikh Nifa Kausar, Prof. Prachi Shahane
Block chain in healthcare, though early in its adoption, is already showing some promise. In fact, early block chain solutions have shown the potential to reduce healthcare costs, improve access to information across stakeholders. It simplifies and streamlines the influx of information necessary to properly manage and provide care for those who need it most. A patient's medical history, records, current providers
Medical Data Storage Using Blockchain
Priyanka Paulraj, Sonali Sarkar, Shaikh Nifa Kausar, Prof. Prachi ShahaneMedical Data Storage Using Blockchain
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Design Smart Energy Meter to Prevention of Power Theft and Automatic Billing Prof. C. J. Sharma, Akash B. Khatik, Apekshit A. Ramteke, Aniket S. Askar
In developing countries like India, power theft is one of the most prevalent issues which not only cause economic losses but also an irregular supply of electricity. An Electricity meter or Energy Meter is a device that measures the amount of electrical energy consumed by a residence, business or an electrical power device. A Smart Energy Meter to control under voltage or overvoltage and it’s prevented power theft in line
Design Smart Energy Meter to Prevention of Power Theft and Automatic Billing
Prof. C. J. Sharma, Akash B. Khatik, Apekshit A. Ramteke, Aniket S. AskarDesign Smart Energy Meter to Prevention
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Classification of Medical Content Based Image Retrieval(MCBIR) using Feed Forward Neural Network Dr. Sweety Maniar, Dr. Leena Patel
This paper presents research work related to Content Based Image Retrieval with focus on medical images. This is an extension to search based on text query wherein images are applied as text query. This works extends to image based query. This study handles the problem related to the difficulty of handling high level image content from low level image features. Retrieval method based on relevance feedback require human interaction
Classification of Medical Content Based Image Retrieval(MCBIR) using Feed Forward Neural Network
Dr. Sweety Maniar, Dr. Leena PatelImage Captioning
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A STUDY ON IMPACT OF PROMOTIONAL STRATEGIES ON CONSUMERBUYING BEHAVIOUR FOR ELECTRONIC GOODS Dr. C. V. RANJANI, JAYA KAGADA
This study covers various concepts of promotion strategy from introduction to marketing mix 4 p’s and online marketing mix, promotion, promotion mix, promotional strategy. In this consumer behavior and online consumer behavior is discussed. The introductory section discusses the promotion policy, its importance, its objectives and activities. It also includes a push strategy and a pull strategy.
A STUDY ON IMPACT OF PROMOTIONAL STRATEGIES ON CONSUMERBUYING BEHAVIOUR FOR ELECTRONIC GOODS
Dr. C. V. RANJANI, JAYA KAGADAA STUDY ON IMPACT OF PROMOTIONAL STRATEGIES
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Studies on Tribological Properties of Aluminum 356.1 Nano Metal Matrix Composites Chethana G C, Dr. Manjunath S H, Dr. Girisha K B
Aluminum is a metal which have light weight element used in several alloys and composites because of its unusual blend of properties such as low density, high wear resistance and corrosion resistance. Aluminum is used in plenty of applications such as automobile, aerospace, industries and home appliances. Composite materials have both metal matrix and reinforcement. Metal matrix composites are used widely in all purposes
Studies on Tribological Properties of Aluminum 356.1 Nano Metal Matrix Composites
Chethana G C, Dr. Manjunath S H, Dr. Girisha K BStudies on Tribological Properties
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A COMPARATIVE STUDY ON THE FINANCIAL PERFORMANCE OF PRIVATE SECTOR BANKS IN INDIA Shivani Acharya, Dr. Prashant T. Jariwala
The banking sector has an important role to play in the economic development of the country. India's banking system is characterized by a vast network of bank branches, offering a wide range of financial services to the people. Banking is the lifeblood of the modern Commerce. Financial Performance Analysis has been selected from the private sector Bank (ICICI Bank, HDFC Bank, Axis Bank, Kotak Mahindra Bank, Yes Bank) during the five financial years
A COMPARATIVE STUDY ON THE FINANCIAL PERFORMANCE OF PRIVATE SECTOR BANKS IN INDIA
Shivani Acharya, Dr. Prashant T. JariwalaA COMPARATIVE STUDY ON THE FINANCIAL
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Comparative Study of Steel, Bamboo and Glass Fiber as Reinforcing material in Concrete beams Dharmendra S Gour, Deepak Kumar Bandewar, Sachin S Nagayach, Neha sen Shrivas
Concrete is the most principally utilized material in the development field took after by steel as reinforcements. The present-day situation is seeing a quick change in the building material industry and step by step new innovations are supplanting the ordinarily utilized materials. Scientists everywhere throughout the world are endeavoring to enhance concrete by the utilization of fibers, pozzolanas and different admixtures
Comparative Study of Steel, Bamboo and Glass Fiber as Reinforcing material in Concrete beams
Dharmendra S Gour, Deepak Kumar Bandewar, Sachin S Nagayach, Neha sen ShrivasComparative Study of Steel, Bamboo
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Selectivity Skills of Aggressive and Conservative Hybrid Fund Managers C. Saraswathi Bai, Dr C V Ranjani
The paper analyses selectivity skills of aggressive and conservative hybrid funds managers in India during April 2011 to March 2021. 13 schemes from each category of aggressive and conservative hybrid funds are selected for the present research. A total of 26 schemes which include both public and private are considered for study. Fama’s breakup and Sharpe Differential are applied for calculating stock selectivity skills of fund managers
Selectivity Skills of Aggressive and Conservative Hybrid Fund Managers
C. Saraswathi Bai, Dr C V RanjaniA Study On Consumer Buying Behavior
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AutoCodeApp Mr. Japan Chetankumar Gor, Mr. Vinay Nagin Panchal, Ms. Siddhi Jayesh Shah, Mrs. Poonam Milind Thakre
Much of the changes that take place in the world of software hinge on APIs (Application Programming Interfaces). Although, we interact with APIs every day, many still underestimate their impact on web applications. An API is software programming written to bridge the communication between web applications. Hence, it makes services accessible to outside developers so they can build those services into their programs.
AutoCodeApp
Mr. Japan Chetankumar Gor, Mr. Vinay Nagin Panchal, Ms. Siddhi Jayesh Shah, Mrs. Poonam Milind ThakreAutoCodeApp
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Review of Supervised Machine Learning Algorithms for Heart Disease Prediction Neetu Kumari, Dr. Anita Ganpati
Heart disease is one of the leading causes of life complications and consequences death. Manual heart disease diagnosis and treatment by doctors is a complex and critical task and results in taking plenty of tests. Specifically in third world countries, due to the scarce availability of skilled professionals and diagnostic equipments required for befitted prognostication of the patients. Due to plenty of risk factors conducive to heart disease
Review of Supervised Machine Learning Algorithms for Heart Disease Prediction
Neetu Kumari, Dr. Anita GanpatiReview of Supervised Machine Learning Algorithms
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Credit-Cards Fraud Uncovering Technique Using Integrity Model Framework: An Analysis Deepali Bharadwaj, Dr. LavKush Sharma, Dr. Brajesh Kumar Singh
Nowadays, the whole world does online shopping, online banking and almost all the work from home through the internet and it also takes time, as the trend of online shopping, e-learning, online banking is becoming more and more like credit cards. Fraud, online fraud, computer hacking is also increasing. Free online shopping, Credit card transactions are plays an important role in these days and mobile wallets are also plays an important role in Financial trading.
Credit-Cards Fraud Uncovering Technique Using Integrity Model Framework: An Analysis
Deepali Bharadwaj, Dr. LavKush Sharma, Dr. Brajesh Kumar SinghCredit-Cards Fraud Uncovering Technique
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Result Analysis for Instance and Feature Selection in Big Data Environment Satish S. Banait, S. S. Sane
Instance and feature selection has become an effective approach due to enormous data which is continuously being produced in the field of research. It is difficult to process such large datasets by many systems. Though the traditional techniques are useful for large datasets, the numbers when in hundreds, thousands or millions face scaling problems. The proposed work focuses on, scalable instance and feature selection in big data environment
Result Analysis for Instance and Feature Selection in Big Data Environment
Satish S. Banait, S. S. SaneResult Analysis for Instance and Feature
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Fashion Trends that Look Good but Not Suit Good Mr. Prasun Gagan
As we all know clothes are second most important thing we need to survive after food and Fashion has made that thing very attractive. But fashion keeps changing from time to time and we call it Trend. We all are always attracted to the fashion trend to look good, presentable, trendy, shaped, updated etc. But some fashion trends can harm us too. Some fashion trends affect our pocket and some to our health
Fashion Trends that Look Good but Not Suit Good
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Unravelling Green Bond Drive in Indian Financial Market: An Overview Dr. Priyanka Khanzode, Ms. Jyotsna Garg, Ms. Jahnvi Garg
The study describes the green security market from a worldwide and Indian point of view. Information addressing the ventures made through green bonds overall in different areas has been examined cautiously. For this, we outwardly investigated three datasets, of which two were from the world's viewpoint, addressing how much venture was brought through green securities in different sectors and in various regions, and lastly.
Unravelling Green Bond Drive in Indian Financial Market: An Overview
Dr. Priyanka Khanzode, Ms. Jyotsna Garg, Ms. Jahnvi GargUnravelling Green Bond Drive
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Modelling of Latur Sub-region by Using QGIS 3.16 Supriya Patil, Tanmay Chhabra, Ashutosh Ranjan, Dhanashri Ingle, Ravi Phule
In this project we made an attempt to be familiar with the topic of “ WATERSHED MANAGEMENT BY USING QGIS 3.16.As India is facing scarcity of water, so watershed management is the only option for development of rural Area. Advances in data utilization through geographic information systems (GIS), and data sharing through the internet have provided watershed managers access to more information for management decisions
Modelling of Latur Sub-region by Using QGIS 3.16
Supriya Patil, Tanmay Chhabra, Ashutosh Ranjan, Dhanashri Ingle, Ravi PhuleModelling of Latur Sub-region by Using QGIS 3.16
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Modification of Panzan Left Canal by Analysis of River Interlinking Supriya Patil, Tejas T. Malpure, Ankitkumar Gupta, Gaurav Patil
Inter-Linking of River is a water conservation method to reduce the irregular distribution of water and for providing solution to minimize floods and droughts in India. The rivers in semi –arid drought – prone tahsils are life-line of livelihood. The rivers play a vital role in the lives of the drought – prone tahsils people. Proper management of river water is the need of the hour. Indian agriculture largely depends upon Monsoon
Modification of Panzan Left Canal by Analysis of River Interlinking
Supriya Patil, Tejas T. Malpure, Ankitkumar Gupta, Gaurav PatilModification of Panzan Left Canal by Analysis
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Analysis of a Transmission Tower Near Coastal Area Vaibhav Sharma, Shashwat Dutta, Rakesh Yadav, Neha Kumari, Sarvapriya Sharma
The principal objective of this project is to analyze and design a Steel Transmission Tower near coastal areas using STAAD Pro software. The analysis would involve load calculations manually and analyzing the whole structure by STAAD Pro. STAAD Pro has a very interactive user interface that allows the users to draw the frame and input the load values and dimensions. Then according to the specified criteria assigned it analyses the structure
Analysis of a Transmission Tower Near Coastal Area
Vaibhav Sharma, Shashwat Dutta, Rakesh Yadav, Neha Kumari, Sarvapriya SharmaAnalysis of a Transmission Tower Near Coastal Area
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Durability and Microstructure Studies of Rubber Incorporated Light Weight Concrete: A Review Arya Murali, Indu Susan Raj, Dr. Elson John
Due to the rapid development in automotive production, there is an increase in tire production. Disposing of dirty tires is a global problem. Natural processes are not available for disposing of dirty tires. These disposable tires must be used in a variety of ways in different industries to achieve environmental sustainability. Another type of application is in the form of crumb rubber. Different types of research.
Durability and Microstructure Studies of Rubber Incorporated Light Weight Concrete: A Review
Arya Murali, Indu Susan Raj, Dr. Elson JohnDurability and Microstructure Studies
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Durability and Microstructure studies of Plastic Incorporated Light Weight Concrete: A Review Sneha Elsa Cheriyan, Indu Susan, Dr. Elson John
In the construction business, the introduction of light weight concrete has been a game changer. This paper summarizes the latest research and trends of Aerated concrete. The purpose of this work is to investigate the durability and microstructure of plastic-incorporated light-weight concrete. AC is a new concrete masonry material that is light weight, simple to construct, and transportable
Durability and Microstructure studies of Plastic Incorporated Light Weight Concrete: A Review
Sneha Elsa Cheriyan, Indu Susan, Dr. Elson JohnDurability and Microstructure studies
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Analysis and Design of a Multi-Storey Building Sandeep Kumar, Madhav Agarwal, Prashant Koushik, Rahul Rawat, Vikas Kumar
A multi-storey is a building which actually has floors above the ground. It can be a residential or commercial building. In this project the analysis and design of multi-storey building G+5 is done using the software like AutoCAD and STAAD.Pro. In general, the analysis of multi-storey is little lengthy and complex because these are statically indeterminate in nature. Forces due to Shears and moments, due to different loading conditions
Analysis and Design of a Multi-Storey Building
Sandeep Kumar, Madhav Agarwal, Prashant Koushik, Rahul Rawat, Vikas KumarAnalysis and Design of a Multi-Storey Building
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Innovative Practices of Language Teaching by setting upLanguage Laboratories Dr. Nira Konar
Innovation is a must to survive the growing challenges in all fields, especially in the fields of Education. With the rapid spread of worldwide trade, commerce and technological development in the modern world, the importance of English language teaching and learning has grown exponentially. Good communication skills in English remains a key factor in succeeding in today’s global market. This paper offers to throw light on the Innovative use
Innovative Practices of Language Teaching
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Food Recommendation System Hetvi Jiten Gala, Nileshkumar Mehta, Muzzamil Siddique, Prof. Rushikesh Nikam
K Nearest Neighbor algorithm falls under the Supervised Learning category and is used for classification (most commonly) and regression. It is a versatile algorithm also used for imputing missing values and resampling datasets. As the name (K Nearest Neighbor) suggests it considers K Nearest Neighbors (Data points) to predict the class or continuous value for the new Datapoint. Recommender Systems are an integral part of a system.
Food Recommendation System
Hetvi Jiten Gala, Nileshkumar Mehta, Muzzamil Siddique, Prof. Rushikesh NikamFood Recommendation System
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Laser Cladding Process: An Exhaustive Review Sunil Patel, Prof. (Dr) Chirag Patel
Many thermal surface treatments are available to increase the quality of metal parts, such as WR and CR, autogenous welding and many more heat treatment methods. Poor bonding, porosity, thermal distortion, incomplete penetration and other issues can develop depending on the technology used. One way for overcoming these issues is laser cladding. Laser cladding is a deliberate technology. it may provide superior qualities.
Laser Cladding Process: An Exhaustive Review
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An Overview of Recruitment, Selection, Training and Development Related to Public Sector Banks Dr. Avinash Kumar
The backbone of Indian financial system is the public sector banks. The public sector banks were nationalized in the 1969. The period of economic reforms started in 1991 with the New Economic Policy (NEP). These permitted entry of new private sector banks and foreign banks in India. Thus the era of cut throat competition began in the banking sector. The management of people is essential for organization
An Overview of Recruitment, Selection, Training and Development Related to Public Sector Banks
Dr. Avinash KumarAn Overview of Recruitment, Selection
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Comparison of Seismic Analysis of Multi Storyed Building Using Shear Wall and Bracing in all Seismic Zones of India Aleesha Khan, Dr. Aslam Hussain
Looking to the past records of earthquakes, there's expansion inside the interest of quake opposing structures which may be fulfilled by giving the shear wall frameworks inside the structure. Furthermore inferable from the principal quakes inside the new taps the codal arrangements updated and executing extra weightage on seismic tremor style of construction.
Comparison of Seismic Analysis of Multi Storyed Building Using Shear Wall and Bracing in all Seismic Zones of India
Aleesha Khan, Dr. Aslam HussainComparison of Seismic Analysis of Multi Storyed
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Seismic Analysis of Shear Wall and Bracing in all Seismic Zones at Different Location on Multi-storey RCC Building Aleesha Khan, Dr. Aslam Hussain
Multi Storyed Building developments have been rapidly increasing worldwide. The growth of multistory building in the previous decades is observed as the part of necessity for vertical expansion for business and residence in urban areas. It is seen that there is requirement to study the structural systems for R.C.C framed structure, which endures the lateral loads due to seismic effect.
Seismic Analysis of Shear Wall and Bracing in all Seismic Zones at Different Location on Multi-storey RCC Building
Aleesha Khan, Dr. Aslam HussainSeismic Analysis of Shear Wall and Bracing
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Problems of Tribal Women’s Self-Help Groups in Nandurbar district during Covid-19 Pandemic Dr. Gautam. M. Morey
Nandurbar district is tribal district in Maharashtra. Nandurbar district have six tahsils. Akkalkuwa, Dhadagaon ,Taloda, Shahada, Nandurbar and Nawapur. In the six tahsil have 9 towns and 943 villages. spread over Akkalkuwa(190), Dhadagaon (162), Taloda (93), Shahada (184), Nandurbar (153) and Nawapur(161).As per 2011 census. Nandurbar is one of the lowest urbanized districts, having 16.7 percent of its population in urban area and 83.29 percent Population
Problems of Tribal Women’s Self-Help Groups in Nandurbar district during Covid-19 Pandemic
Dr. Gautam. M. MoreyProblems of Tribal Women’s Self-Help Groups in Nandurbar
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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 VermaAn Application of Deep Learning Algorithm
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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 ThubeApplications of Machine Learning in The Field
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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 SonavaneAlzeimer Disease Prediction Using Machine Learning
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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 JainDesign of a restaurant billing system
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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 YadavLocation Prediction On Twitter Using Machine
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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 TripathiProvably Secure and Light Weight Identification
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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 YadavArduino Based Voice Control Robot
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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 GuptaAnalysis of Machine Learning Classifiers
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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 BaviskarImplementation of Machine Learning Algorithm
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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 IngaleHouse Price Prediction System Using Machine Learning
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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 RandhirTourist Place Reviews Sentiment Classification
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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 VermaMachine Learning for Web Vulnerability
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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 HuzaifaA Lightweight Secure Data Sharing Scheme
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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 SawantSearch Rank Fraud and Malware Detection in Google Play
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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 AwarA Study of Blockchain Technology in Farmer's Portal
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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 HedauConnecting Social Media To E-Commerce Cold-Start
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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 GaikwadBlockchain as a Platform for Secure Cloud
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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 PandeyPredicting CO2 Emission Using Machine Learning
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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 SapaleTomato Leaves Diseases Detection
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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 ShedageMachine Learning Algorithm for Stroke Disease Classification
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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 MahajanAnalysis and Prediction of Cardiovascular
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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 NagmotiPerformance Analysis of Machine Learning
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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 GhoshtekarContent Analysis of Messages in Social
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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 ShahaSurvey on Machine Learning Techniques
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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 YadavFederated Data Management Aggregation