Volume 09, Special Issue, April 2024
SKN Sinhgad Institute Technology And Science, Lonavala
organizes
First International Conference On Advances in Modern Technology of Research in Engineering Field
April 2024

The classification method is very important in the detection of brain diseases. He fully observed that brain tumor is mostly curable tumor. As you know, detecting a brain tumor is a difficult and laborious job, and if the tumor is not recognized at an early stage, it can turn into uncertain situations.

The thing for the undertaking was to develop a brand new kind of mortal pc interplay machine that subdues the problems that druggies had been dealing with with the slice- edge device. The challenge is carried out on a Linux device still will be applied on a windows contrivance by way of downloading some modules for python. The algorithm applied is vulnerable to change in history snap because it isn't primarily grounded on background print deduction and is not always programmed for a named hand kind; the algorithm used can procedure exclusive hand types, acknowledges no of hands, and might carry out scores as harmonious with demand. while looking a videotape on a computer, numerous interruptions can distract the person far from the machine,e.g., a computer or a computing device.

Data leakage poses a significant threat to organizations, exposing sensitive information to unauthorized parties and potentially resulting in severe consequences. Detecting and preventing data leakage is paramount for safeguarding organizational assets and maintaining trust with stakeholders. This paper provides a comprehensive review of techniques and approaches for data leakage detection, focusing on both traditional methods and recent advancements in the field.

Our work focuses on applying supervised machine learning techniques to anticipate bank client attrition. We created a straightforward and effective strategy that works with a variety of machine learning techniques. We tested many methods through tests and discovered that the Decision Tree strategy was the most effective in forecasting client attrition. By demonstrating how well supervised machine learning works to handle churn prediction issues in the banking industry, this study advances the discipline.

Agricultural Classification Method The agricultural sector faces significant losses due to various crop diseases, particularly when managing extensive cultivated areas. Monitoring crops consistently becomes burdensome for cultivators, especially when dealing with vast acreages. Our research focuses on the early detection of diseases as they emerge on the surface of leaves, utilizing remote sensing images.

Skin cancer is a significant public health concern, with over 5,000,000 new cases annually in the United States. Melanoma, the deadliest type, and non-melanoma tumors like squamous cell carcinoma and basal cell carcinoma pose substantial risks. Early detection significantly improves survival rates, exceeding 95%.This project focuses on developing a Convolutional Neural Network (CNN) model for early skin cancer detection.

In this research work, we address the critical challenges faced by visually impaired individuals by proposing a virtual assistant to assist them in their daily lives. This innovative system incorporates speech recognition and navigation capabilities, as well as data retrieval functionalities.

: In the ever-expanding realm of modern technology, the stability and efficiency of communication networks have become vital to our daily lives, the continuity of businesses, and the functioning of entire industries. To meet the growing demands of network management and optimization, the Network Analyzer Project emerges as a pioneering endeavor. This project envisions the development of a comprehensive system tailored to empower network professionals and administrators in their mission to monitor, analyze, and enhance network performance.

The Travel Adviser Web App is a state-of-the-art platform revolutionizing travel planning. As an all- encompassing advisor, it's tailored to simplify and enhance every aspect of trip organization. Utilizing advanced technologies, this app offers users a seamless and personalized journey planning experience. Whether you're seeking accommodation, activities, or insightful reviews, the Travel Adviser Web App provides a comprehensive one-stop solution.

In this article, we present the development of an artificial intelligence chatbot for the Android platform that aims to improve user interaction and experience. Using natural language processing (NLP) techniques and machine learning algorithms, our chatbot is designed to understand and respond to user queries in a conversational manner. The bot is able to provide information, answer questions, and assist users with various tasks, making it a versatile and valuable tool for mobile users.

Lung cancer stands as one of the foremost causes of mortality globally, underscoring the critical need for early and precise detection to enhance patient outcomes. This study delves into the efficacy of Convolutional Neural Networks (CNNs) in detecting lung cancer using medical imaging, notably Computed Tomography (CT) scans. We explore how CNN architecture is well-suited for analyzing image data and extracting pertinent features crucial for accurate diagnosis.

Virtual try-on systems have gained significant attention in recent years due to their potential to revolutionize the online shopping experience by enabling users to virtually try on clothing items before making a purchase. In this paper, we propose a novel approach for virtual try-on utilizing deep learning techniques applied to video sequences. Our system takes advantage of the temporal information inherent in video data to create a more realistic and immersive virtual try-on experience.

Crowd funding is an online money-raising strategy that began as a way for the public to donate small amounts of money to help creative people finance their projects. Through crowdfunding, individuals are able to invest in entrepreneurial start-ups through an intermediary, such as a broker-dealer. The problem with the current sites is they don't provide the Donor Guarantee Policy and they don't have control over the money they donated. This paper is to propose crowdfunding using blockchaintechnology. Through this, we can provide a safe, secure and transparent way for crowdfunding.

With exponential growth in mobile phone users, the demand for mobile apps has surged significantly. Presently, users tend to favor mobile apps over websites. This project aims to develop a system for detecting fraudulent apps before users download them, utilizing sentiment analysis and data mining techniques.

The rapid advancement of Information Technology has significantly reshaped our world, and one of its most transformative outcomes is E-commerce. This digital practice involves buying and selling goods via the Internet and electronic devices, fundamentally altering traditional commerce. E-commerce's rise has disrupted conventional retail models, becoming a dominant force in today's market, largely driven by the expansive capabilities of the Internet. Within E-commerce, customers can easily access online stores, browse products, and make purchases with unprecedented ease.

Introducing STES Dialogic AI, a groundbreaking chatbot designed to revolutionize student engagement and facilitate access to essential information within the Sinhgad Technical Education Society (STES) community. Harnessing advanced natural language processing (NLP) and artificial intelligence (AI), this innovative virtual assistant provides students with a seamless platform to navigate various aspects of STES life. Functioning as a responsive, round-the-clock information hub, STES Dialogic AI simplifies the process for students interested in STES, offering prompt and efficient responses to inquiries regarding admission procedures, course specifics, campus facilities, and more.

Sign language is a rich and diverse mode of communication used by Deaf and hard of-hearing communities around the world. This paper presents a comprehensive analysis of sign language, focusing on its linguistic and gestural elements. Our study encompasses an exploration of the structural properties of sign languages, their historical evolution, and the cognitive and neural mechanisms underlying sign language processing.

Social media has become a ubiquitous tool connecting billions of users worldwide, with projections suggesting that the number of users could surpass 50 billion by 2020. Integrating social networking with e-commerce, connecting applications aim to foster social network growth and development, allowing users to showcase their talents such as art, dance, singing, and photography to a relevant audience through online platforms. The 24 Platform, constructed using React.js, Firebase database, VS Code, Node.js, and npm, facilitates content visibility based on user follows and category preferences.

Nowadays computer vision has reached its pinnacle, where a computer can identify its owner using a simple program of image processing. In this stage of development, people are using this vision in many aspects of day to day life, like Face Recognition, Color detection, Automatic car, etc. In this project, computer vision is used in creating an Optical mouse and keyboard using hand gestures.

Density-Based Traffic Control Using Machine Learning is a project used to develop a dynamic traffic signal system based on traffic density. The system can detect traffic densities at intersections and change the signal timing accordingly. In many big cities worldwide, traffic congestion is a significant challenge. The traditional traffic light scheme allocates a fixed amount of time for each side of the intersection, which is not adjustable for varying traffic densities. This project utilizes image processing, feature extraction, and segmentation techniques to manage traffic efficiently and improve traffic flow.

The increase in counterfeit products in the market is a growing concern for consumers, manufacturers, and regulators. Counterfeit products not only cause financial losses to companies but also pose serious health and safety risks to consumers. The traditional methods of detecting counterfeit products have proved to be insufficient. However, the emergence of blockchain technology has created new opportunities for the development of an effective counterfeit detection system. In this paper, we propose a fake product detection system using blockchain technology. Our proposed system combines the transparency and immutability of blockchain with the power of artificial intelligence and machine learning to detect counterfeit products.

The primary concerns surrounding drug safety within the counterfeit medicine distribution network arise from the initial manufacturing process of these drugs. Ensuring the traceability of correct and active pharmaceutical ingredients during manufacturing presents a significant challenge. Failure to detect drugs lacking the intended active ingredients can result in severe harm or fatalities to end-consumers. Leveraging the advanced capabilities of blockchain technology offers a promising solution for establishing comprehensive traceability of drugs from the manufacturer to the end-consumer, as well as the ability to identify counterfeit drugs.

Web Real-Time Communication (WebRTC) is anopen-source challenge that allows real-time communique talents immediately within internet browsers and cellular applications. It permits peer- to-peer communique, which includes audio, video, and information sharing, without the want for any extra plugins or 1/3-party software program. WebRTC abstracts the complexities of organisingdirect communique channels among devices,allowing developers to integrate seamless real-time conversation functionalities into web applications. Itleverages a aggregate of standardized protocols, such as Session Initiation Protocol (SIP) and Interactive Connectivity Establishment (ICE), and JavaScript APIs to allow steady and efficient conversation among customers, enhancing the general person enjoy for diverse online collaboration, conferencing,and conversation programs.

In our rapidly advancing technological landscape, the Cloud-Based Emergency Response System with QR Code Integration emerges as a groundbreaking initiative at the inter- section of technology and emergency management. This project addresses the critical need for swift and efficient access to vital individual information during emergencies, especially in the context of road incidents. Traditional emergency response systems often encounter challenges in the rapid retrieval and dissemination of essential data, prompting the need for a trans- formative solution. At its essence, the project aimsto redefine the paradigm of information accessibility during emergencies, offering a comprehensive platform that leverages cloud computing, secure authentication methods, and QR code technology.

Looking for a place to live as a student can be tough. There are so many options out there, and it can feel overwhelming. That's where Flatmate comes in. It's a website designed specifically to help students find accommodation easily. Before Flatmate, students struggled to find roommates who matched their preferences using various websites. Research papers from 2021-22 highlighted this issue. Flatmate now solves this problem by helping students choose from a list of interested candidates for the same flat or room. This review looks at what Flatmate offers, how easy it is to use, and whether it really helps students find the perfect place to live

The Online Project Submission Portal is a web-based platform developed in PHP, designed to streamline and modernize recordkeeping processes within educational institutes and colleges. This system simplifies the management of student data, enabling efficient record access, addition, editing, and deletion. The Online Project Submission Portal empowers students to submit applications and register for various academic activities, project submissions, all while ensuring data accuracy and security. This system significantly reduces paperwork, automates record generation, and enhances the overall efficiency of educational institutions.

In today's constantly evolving digital landscape, it has become imperative to ensure the integrity of digital transactions. This is especially important because online financial interactions have become increasingly common, making the stakes higher than ever. Innovative technologies and strategies are needed to bolster the security and trustworthiness of these transactions. The focus of this research paper is to explore such groundbreaking solutions. The paper delves extensively into blockchain technology, which is a crucial element of modern digital security.

In recent years, there has been a growing interest in using computer vision techniques in various fields, including fitness and wellness. This paper introduces a new method for estimating yoga poses using the YOLO (You Only Look Once) model. By taking advantage of YOLO's ability to process images quickly, we aim to accurately estimate yoga poses in real time during practice sessions. Our approach involves training the YOLO model on a custom dataset that includes annotated yoga poses. Through thorough testing, we show that our method is effective in identifying and categorizing yoga poses under different lighting conditions and body positions.

Phishing remains a significant cybersecurity threat, where attackers mimic legitimate websites to deceive users into divulging sensitive information. Detecting phishing websites accurately and promptly is paramount to mitigate potential risks. In this study, we propose a robust phishing website detection system leveraging machine learning techniques. Our system integrates a diverse set of features including URL-based features, website content analysis. The system contains machine learning approaches such as gradient boosting classifier, logistic regression which trains the system to predict whether the website is safe for use or not.

Healthcare research is becoming increasingly important due to advancements in technology and data. Managing large amounts of patient data can be challenging. Big Data Analytics makes it easier to manage this data. There are numerous treatments available globally for various ailments. Machine Learning is an emerging tool for disease prediction and diagnosis. This research demonstrates how machine learning can predict disease based on symptoms.

This Project represents the work associated with Text Summarization. In this paper, we present a framework for summarizing the massive facts. The proposed framework depends on highlight extraction from internet, using each morphological element and semantic data. Presently, in which large facts is available on the internet, it's far maximum important to offer the improved approaches to extract the statistics quickly and most successfully.

In the information age, the abundance of online data has become an immeasurable resource for various industries and fields of research. This study explores the world of internet scraping and its various functions in our data- rich age. It introduces the development, tools and challenges of internet scraping, highlighting its ethical and legal limits. Using real case studies, we illustrate its important role in fields such as e-commerce, finance, social media, healthcare, journalism and academia.

The project Blood Donation Application is a real-world application based on Android. This application provides facility to acquire the help during emergency. We are focusing on developing Real world Application. Application aims to be helpful to the users as per their convenience. Blood Donation Application, it is the application through which user will get the help according to the priority.

Weather Tunes is a new app that combines real-time weather data with music recommendation algorithms to create personalized playlists based on the current weather. This article describes the design, implementation, and evaluation of Weather Tunes, focusing on its functionality, user experience, and impact on music listening. Music has the power to influence our thoughts and mood and is often used as a tool for education and relaxation. Weather also plays an important role in changing our mood and perception of the world around us. Weather Tunes combines these two elements, providing users with more music for the weather, improving listening skills and creating a better atmosphere.

Understanding human emotions is a complex journey into the realm of feelings and thoughts, often marked by spontaneity. Deciphering emotions through facial expressions presents a formidable challenge due to the lack of clear- cut connections and significant variations among individuals. However, with the advent of deep learning, emotion recognition has garnered widespread attention, opening up numerous practical applications in our everyday lives.

Detecting deep fake faces has become increasingly crucial with the rise of sophisticated AI-based manipulation techniques. In this paper, we propose a novel deep fake face detection framework that leverages advanced machine learning algorithms and neural network architectures. Our approach integrates multi-modal features extracted from both spatial and temporal domains, enabling robust detection of manipulated facial images and videos.

A recommendation system aims to suggest certain item or product to specific users based on the user’s preference, interest, and rating. It is essential to create associations between objects to deliver the best RS. Today, majority of e-commerce businesses use recommendation algorithms to entice customers to make additional purchases by presenting things that they are likely to like. RS facilitate rapid navigation and information gathering.

In an era of diverse educational and career opportunities, the process of guiding students toward well- informed decisions is increasingly complex. Competency assessment projects, driven by computer-based assessments and machine learning algorithms, have emerged as a promising solution. This research paper explores the intricate synergy of technology and education in competency assessment. It delves into the design of comprehensive assessments that transcend conventional knowledge-based tests, focusing on students' problem-solving skills, critical thinking abilities, and personal interests.

Early indicators of students' progress enable teachers to focus on a variety of teaching methods and optimize their learning tactics in order to create an effective learning environment. Academics can proactively engage students in more effective learning experiences by using machine learning applications to anticipate potential shortcomings in learning processes.

Plant diseases cause significant crop losses, impacting economic and food security. Early detection is crucial to minimize these losses. Utilizing IoT, a plant disease prediction system monitors crop health, alerting farmers upon disease detection. This abstract proposes such a system, employing IoT components like ESP32 microcontroller, temperature, humidity, sun intensity, and moisture sensors, along with a solar panel, battery, and Blynk app.

“Job Automation Forecasting” is an AI- driven platform that predict job automation percentages, offering user valuable career guidance. This user-friendly website enables quick access to automation forecasting for specific job title. Making informed career decisions easier. It’s a valuable resource for individuals, educational institutions, employers, and policy-maker, aiding in career planning and industry growth identification.

In the digital age, secure communication and data protection are paramount. Image-text encryption and decryption, a fusion of cryptography and steganography, provides an innovative solution to safeguard sensitive information. This technique involves encrypting textual data using advanced cryptographic algorithms and embedding it within images using steganographic methods. This paper delves into the principles, methodologies, and applications of image-text encryption and decryption.

This paper presents novel approaches for the detection of two prevalent women's health conditions: Polycystic Ovary Syndrome (PCOS) and Breast Cancer. PCOS, a hormonal disorder affecting reproductive-aged women, is often underdiagnosed due to its varied symptoms. Utilizing machine learning algorithms and clinical data, our proposed PCOS detection system achieves high accuracy in identifying potential cases, enabling timely intervention and management.

In today's rapidly evolving e-commerce landscape, offering personalized product recommendations isn't just advantageous—it's essential. Our project introduces a dynamic and responsive recommendation system aimed at enhancing the online shopping experience, making it seamless and enjoyable.

E-Suvidha, a groundbreaking web platform, has emerged as a transformative force in the lives of citizens, offering a wide range of home services. This research paper delves into the origins, methods, and the profound impact of E-Suvidha, underlining its role in delivering accessible, efficient, and transparent services. The project harnesses an array of technologies, including HTML, CSS, JavaScript, Java, SQL, and Spring Boot, to create a user-friendly web application that enhances the quality of life for individuals and households.

- “Density Based Traffic Control Using Machine Learning” is a project that is designed to develop a density based dynamic traffic signal system. The signal timing changes automatically on sensing the traffic density at the junction. Traffic congestion is a severe problem in many major cities across the world. Conventional traffic light system is based on the fixed time concept allotted to each side of the junction which cannot be varied as per varying traffic density.

Digital commerce is that the system of engaging in commercial enterprise on internet. The man or woman sitting in his house in advance of the personal pc can pierce all web sites to save or vend those products. compared traditional trade requires one to carry out venture similar as carrying the products and so forth., ecommerce revel in has made the customer to do no such mission therefore saving valuable time. E-trade launched within the early 1990s has taken an significant shift within the laptop global, but the fact has hindered the expansion of e-commerce protection. safety is an e-trade challenge now and important progress has been made in the protection region.

Users can engage in online auctions with the help of the web-based electronic auctioning system called e- auction. The system gives vendors a place to list their goods for sale and allows customers to place bids on them. With features that enable safe transactions and real-time bidding, the e-auction system is made to be easily navigable and user-friendly.A number of features are available to both buyers and sellers through the e-auction system. The platform gives sellers the ability to make auction listings complete with product details, photos, and opening bids.

In the contemporary landscape of employment, where the intersection of technology and workforce dynamics continually evolves, the "AI Resume Analyzer" emerges as a pioneering tool aimed at simplifying and enhancing the job- seeking process. With an emphasis on professionalism and innovation, this project represents a significant step forward in the domain of career placement and human resources.

To recognize PCOS as early as possible, preferably when the first symptoms or irregularities appear. To ensure that the diagnosis of PCOS is accurate, as the symptoms of PCOS can overlap with other conditions. Polycystic Ovary syndrome(PCOS) is a common endocrine disorder affecting individuals with ovaries characterized by a range of symptoms such as irregular menstrual cycles ,hormonal imbalances, and the presence of ovarian cysts. Early detection of PCOS is essential for timely intervention and management, as it can lead to various health complications, including infertility and increased risk of metabolic disorders.

Traveling has become an essential part of our lives, and travelers often face the daunting task of choosing destinations and planning their journey. With the vast amount of information available, making informed decisions can be challenging. In this context, a Travel Recommendation System (TRS) has emerged as a valuable tool, providing personalized travel recommendations to users. This paper presents a state-of-the-art Personalized Travel Recommendation System designed to enhance travelers experiences by offering tailored destination suggestions, activity recommendations, and itinerary planning.

In recent era, steganography has gained a huge popularity due to its property of data covertly. It basically hides data in a medium in textual form. As it drawing more impulse due it's ability of masking large amount of data. This paper furnishes the leading-edge technique and the methodologies concerning video as convert communication channel In this both Processed as well as unprocessed videos are taken into consideration., further the feasibility of the encryption techniques are also discussed. This paper provides an overall view about the encryption techniques considering video as the cover.

This paper presents the design and implementation of a Training and Placement Management System (TPMS) that streamlines the process of training and placing students in various companies. The Training and Placement Management System provides a centralized platform that allows students to apply for various training and placement programs offered by different companies, and allows companies to access a pool of qualified candidates for recruitment.

A certain amount of soil moisture is aprerequisite for good plant growth. Furthermore, sincewater is a necessary component of livelihood, excessivewater use must be avoided. The most common use of wateris for irrigation. This necessitates the regulation of watersupply in agriculture. It is best to irrigate pasture landneither too much nor too little. One tool that providesinformationabout thesoilissoilmonitoring.Varioussystems have been used over time to achieve this goal, withcomputerized methods being the most popular becausethey allow data to be collected with high consistency andminimal labor.

This proposed system can be used to reduce the number accidents on the road which are caused by the drowsiness or the tired driver. Many survey shows that the number of accidents occured due to this reason has increased drastically over the past few years. The system proposed in this paper aim to reduce those numbers of Accidents. Several body gestures can taken into considered as a sign of drowsiness and fatigue of the driver. Tiredness of the eyes and frequent yawning are indications that the driver condition is improper.

This paper presents the design and implementation of a Training and Placement Management System (TPMS) that streamlines the process of training and placing students in various companies. The Training and Placement Management System provides a centralized platform that allows students to apply for various training and placement programs offered by different companies, and allows companies to access a pool of qualified candidates for recruitment.

In the present scenario, women are keeping pace with men in every walk of life but unfortunately at cost of being subjected to abuse, harassment, and violence in public and even at their own houses. They cannot step out of their houses at any time of the day, cannot wear clothes as per their will, nor can they even go to work in peace. So, to provide security to women from dangers in any situation, we have developed this Security Application. In this system, the user needs to register with their parent’s email id and the contact number of their guardian or friend.

Before the widespread application of blockchain- based technologies, the mechanisms in place for verifying ownership of digital assets and thus, means of securing them remained susceptible to tampering that translated into significant losses Blockchain is another innovation with solid ramifications for the eventual fate of how we trade data and money as a comprehensively organized society. It is new to the point that there is moderately minimal scholastic work done on it, yet this is evolving rapidly.

Leukemia is a type of cancer that affects people of all ages, including children and adults, and is one of the leading causes of death worldwide. In particular, it is associated with large numbers of immature lymphocytes and white blood cells (WBCs) accompanied by bone and/or blood damage. Therefore, early and reliable cancer diagnosis is the most important part of treatment to ensure survival. Currently, manual analysis of blood samples from microscopic images is used to diagnose disease, which is often slow, time-consuming and inaccurate.

Software-defined network (SDN) is a network architecture that is used to build, and design the hardware components virtually. We can dynamically change the settings of network connections. In the traditional network, it's not possible to change dynamically, because it's a fixed connection. SDN is a good approach but still is vulnerable to DDoS attacks. The DDoS attack is managed on the internet. To prevent the DDoS attack, the machine learning algorithm can be used.

Deep learning has been successfully applied to solve various complex problems ranging from big data analytics to computer vision and human-level control. Deep learning advances however have also been employed to create software that can cause threats to privacy, democracy and national security. One of those deep learning-powered applications recently emerged is deepfake. Deepfake algorithms can create fake images and videos that humans cannot distinguish them from authentic ones.

A stock market, equity market, or share market is the aggregation of buyers and sellers of stocks (also called shares), which represent ownership claims on businesses. In stock market analysis we are trying to predict the price of given share or stock The result was achieved at the end of this project was quite impressive as model was able to predict the trend successfully, it was not 100% accurate but considering that model it predicted only on the basis of past data is quite impressive. All these things we are able to do with help of machine learning.

- It's not an era where you can take a book anywhere, and it's getting harder to carry and read a book every day. Here I came up with this solution. This yearbook application helps you convert hard copies of books to PDF format. In this application, the user simply clicks on the hard copy image with her mobile camera and it is converted to PDF format. Optical character recognition and text-to-speech are used to convert hardcopy pages to PDF format. The application allows you to update the book with a click of the hard copy and also saves this audio file in the database.

Conversational AI assistants have gained significant attention in recent years, as they have proven to be effective in a wide range of applications, including entertainment. In this paper, we review the current state of conversational AI assistants in entertainment and provide an overview of their capabilities, applications, and challenges. Our findings suggest that conversational AI assistants have the potential to revolutionize the entertainment industry and provide a more personalized and immersive experience for users.

Traditional methods of playing music according to a person's mood required human interaction. Migrating to computer vision technology will enable the automation of the such system. This article describes the implementation details of a real-time facial feature extraction and emotion recognition system. One way to do this is to compare selected facial features from an image to a face database. Recognizing emotions from images has become one of the active research topics in image processing and applications based on human-computer interaction.

For most of your HR life, you might have envisioned onboarding as a process to welcome new hires and enlighten them on your company’s culture, benefits, and employees. Paperwork comes as no surprise. It’s high time we realize we are only making it hard for our employees to find their feet by swamping them with information overload and paperwork. For that we are Creating an intuitive onboarding experience with applications that unify systems and data to optimize HR processes and delight new hires.

Contract Farming is an Agreement between Farmers and buyers for the Production Of the Agriculture goods and Supply the goods Under the Predefined Agreements and Fixed Price. As per report 60% to 70% population is directly & indirectly Depends On Agriculture but now a days farmers are facing a new problem of accessing the market and fully achieving profitability. To reduce this issue contract farming was introduced in the market ,in order to maintain the profit balance for farmers and buyer it is the a Partnership contract between farmers and buyers, where the farmers are required to supply the Quantity and the Quality of the crops in the Specific Time period

Machine learning, big data and deep learning are changing the way traditional healthcare industry was working. These new Artificial Intelligence technologies are providing lot of benefits over conventional data analytics and clinical decision making manual techniques. The newly developed learning algorithms are proved to be more accurate thereby helping healthcare professionals to gain good insights into diagnostics and treatment unpredictability. This paper proposes earlier diagnosis vision from engineering point of view.

Chest diseases & conditions such as Atelectasis, Cardiomegaly, Lung consolidation, Hernia, and Fibrosis becoming increasingly prevalent in the Asia-Pacific region. The Asia-Pacific Burden of Respiratory Diseases study examined the disease and economic burden of lung diseases across the Asia- Pacific and more specifically India. The objective is to use a deep learning model to diagnose pathologies from Chest X-Rays. ML approaches on CT and Xray images aided incorrectly in identifying lung diseases.

Design coordination is an endless form of self-expression. When it comes to finding good clothing, there may be an overwhelming period and some variables to keep in mind. In this article, we featured with a "virtual dressing area (VDR)", which is a web-based analogue of an in-store dressing room. Augmented reality is an innovation that improves our real world by adding a layer of computerized data. Augmented Reality adds an advanced component to live view using the camera on the sensor.

Algorithm analysis is a most important part of algorithm design and to understand the algorithm. The idea is to explain the working of different algorithms in simple way to every one, because understanding the complex algorithms can be very complicated or not easy. The research we conducted includes thorough study on algorithms such as sorting, Big O, N-Queen problem visualization, tree, graphs. The working of algorithm will be explained in visual (animated) format, which needs taking parameters from the user in form of pseudo code and plain text.

Plants have become an important source of energy and are a fundamental piece in the puzzle to solve the problem of global warming. Plant disease is a critical issue inagricultural countries, there are many types of diseases whichare present on plants. The agriculture sector ensures both economic growth as well as food security. plant Disease is necessary for every farmer so we are created Plant disease detection using Deep learning. We are using deep learning for this task because here we are working with image data.

Every day, we hear about the threat that careless disposal of garbage poses to the planet. With a majority of what ends up in our landfills still not segregated, the battle seems uphill with no end in sight. Oddly, enough, in India, recycling and upcycling is not a trendy new concept. The tradition of The Recycler man, who would come to our homes and collect our neatly segregated newspapers, glass bottles, and assorted other household disposables, is something we all grew up with.

Technological importance has been a great support for making decisions in various fields especially in farming. The main aim of this system is to accomplish farmer's primary needs and to make them financially independent. E-Agriculture is a platform for farmers to promote their products. All farmers who want a specific value for their agricultural products, as well as end customers who require precise pricing for each product, will benefit from this.

Nowadays shopping malls and Big Marts keepthe track of their sales data for each individual item for predicting future demand of the customer and updating the inventory management as well. These data stores basically contain a large number of customer data and individual item attributes in a data warehouse. Further, anomalies and frequent patterns are detected by mining the data stored in the data warehouse.

In today’s world, Cyber security has become an essential leap in the form of jobs and education. But the reality is that only a few are aware of the significant web vulnerabilities. Some statistical studies show that small- scale industries are directly and indirectly connected to the Internet. Still, they are not aware of the substantial web vulnerabilities of their web application. Since website hosting has become common nowadays, most web applications are prone to attacks and malicious attacks of web applications.

Online crime reporting refers to the process of reporting criminal incidents or suspicious activities to law enforcement authorities through online platforms. This paper provides an abstract overview of online crime reporting, including its history, benefits, challenges, and future directions. The history of online crime reporting dates back to the early 2000s when law enforcement agencies began to adopt technology to streamline their operations.

Going to the gym is one of the common goals of New Year’s Resolutions. As a matter of fact, the highest rate of gymsubscriptions is in January, right after New Year’s. In January2012, 80% of those who joined a gym quit within 5 months. But laziness isn’t the only reason gym members quit. Approximately 46% of former gym members reported that expense was the number one reason why they stopped using their membership. Therefore, it is apparent that cost is a crucial factor in deciding whether or not to subscribe to the gym, even without the cost of hiring a personal trainer. Professional Gyms/health clubs may offer personal trainers as a supplementary service.

With the aim to save cloud storage space, safe deduplication algorithms have been developed. We will begin with AES encryption algorithm; it encrypts the messages using a message-derived key. In the result, we found out that identical plaintexts generate similar ciphertexts. AES encryption algorithm encompasses convergent encryption and provides precise security definitions, was proposed. Cloud computing is the advancement of sharing very large amounts of data via network.

The emergence of Web 3.0 technologies has opened up new possibilities for decentralized applications (dApps) and non-fungible tokens (NFTs). In this paper, we present a novel approach to building an NFT Marketplace web application using Next JS, Sanity.io, and Metamask. Our solution leverages the thirdweb SDK and Tailwind CSS for a modern and user-friendly interface. The main features of our NFT Marketplace web applicationinclude the ability to create and mint NFT tokens using the thirdweb SDK.

In recent years, malls containing a degree of retailers and restaurants flourished in cities everywhere around the globe. This concentration is the reason for issues in parking areas and traffic jams.This paper introduces a parking management system victimization mobile application to handle the png issues in malls. The contribution during the system is 2 folds. The hardware half that of tailored detector units supported a photo transistor with an Associate in Nursing infrared transmitter that's liable for determining infinite car parking zone is occupied or free

Search engine scrapper is a set of processes which allows the user to collect relevant information presented on the World Wide Web (WWW) similar technology is used by search engines (Browsers like Chrome, Firefox Mozilla). This article covers the processes involves to extraction of data from different website content so user can get relevant and necessary information of their query.

The purpose of the Insurance Management System is to automate the existing manual system with the help of computerized equipment and full-fledged computer software, fulfilling their requirements, so that their valuable data/information can be stored for a longer period with easy access and manipulation of the same. The required oftware and hardware are easily available and easy to work with. Insurance Management System, as described above, can lead to error-free, secure, reliable, and fast management system.

Currency is an indispensable part of our daily life. However, how to identify true and fake currencies has become the most important issue at present. If we use a computer for currency recognition, itwill greatly improve the accuracy of recognition and reduce people's workload effectively. In recent years, deep learning has become the most popular research direction. It mainly trains a dataset through deep neural networks. There are many different models that can be used in this project.