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Item A Project report on GameMatch - game recommendation system(New Horizon College, 2026) Jerush Davis, R., U19KU23S0122GameMatch – Game Recommendation System is a web-based application developed to help users discover video games according to their interests, personality, play style, and gaming preferences. The system provides personalized game recommendations using a quiz-based recommendation engine integrated with the IGDB API. The application allows users to search games, explore detailed game information, view ratings, screenshots, trailers, genres, and discover similar games. The platform uses real-time gaming data fetched dynamically through the IGDB API, ensuring updated and accurate information for users. The recommendation system works by collecting user preferences through a multi-step personality quiz. Based on user responses such as play style, skill level, available gaming time, personality type, and favorite genres, the system maps the inputs to suitable game genres and recommends games accordingly. The project is developed using HTML, CSS, Bootstrap, JavaScript, PHP, and MySQL. Bootstrap is used to create a responsive and attractive gaming-themed interface, while PHP handles backend logic and API communication. MySQL stores user accounts and quiz results securely. The main objective of the project is to provide gamers with a smart and user-friendly platform for discovering games efficiently without manually searching across multiple gaming websites.Item Project report on smart animal rescue system with AI recognition(New Horizon College, 2026) Priyadharshini, M., U19KU23S0120Managing stray and domestic animal welfare stands as a major municipal challenge in rapidly developing urban environments. Traditional animal rescue networks are highly fragmented and suffer from extreme operational friction, relying on manual phone calls, unverified communication lines, and vague verbal descriptions of the scene. This lack of structure leads to inaccurate location mapping, making it difficult for rescue teams to navigate to a crisis site efficiently, while central dispatch centers lack real-time data visibility to determine medical severity. To bridge this gap between public citizens and specialized regional dispatch squads, this project introduces the Smart Animal Rescue System with AI Recognition, an end-to-end automated emergency response ecosystem designed to streamline civic intake and field resource logistics. The application architecture relies on a dual-environment network ecosystem that runs entirely on localized infrastructure via loopback configurations (localhost:5006). On the citizen-facing presentation layer, the framework uses native hardware-level API event handlers to capture high-precision geographic telemetry metrics from the device's location sensors. By extracting absolute latitude and longitude floating-point decimal coordinates silently in the background, the system entirely removes human navigation error from the tracking loop. Simultaneously, a multi-modal computer vision model handles incoming multi-part form-data streams. When a citizen attaches a local photo asset, the neural network executes deep feature extraction layers across pixel matrices to perform real-time animal species identification. The system then merges this computed classification label with user-supplied qualitative trauma data strings through an internal conditional rules engine to calculate a severity priority rating and deliver on-site first-aid guidelines. The backend database tier is governed by relational storage tables designed for strict transaction security and absolute ACID compliance. When a report satisfies all client-side validation guard rails, it is assigned a short, user-friendly auto-incrementing integer tracking number (e.g., #27) to eliminate communication friction. On the administrative control end, a centralized management terminal consolidates active records into a tabular logging grid. The console anchors four interactive analytics widgets displaying total emergencies, pending cases, rescue results, and active volunteers, functioning as dynamic list filters that isolate sub-arrays on click without page reloads. Furthermore, the dashboard automatically converts coordinates into visual marker pins plotted across an integrated spatial tracking map while calculating paths to match each incident to the closest physical regional rescue hub. The operational lifecycle concludes through a strict dual-photo verification closure loop where field personnel submit a real-time post-rescue photograph to the server, firing atomic SQL update queries that transition the case state from "Pending" to "Completed" across the admin console and public tracking paths concurrently. This project successfully replaces legacy manual processes with a highly resilient public utility infrastructure that reduces communication gaps and accelerates life-saving response operations at a systemic scale.Item Report on full stack web development(New Horizon College, 2026) Prem Kumar, S., U19KU23S0119The Women's Safety and Emergency Response System (WSERS) is an innovative software solution designed to enhance the safety and security of women through the effective use of modern technology. The system provides a comprehensive platform that enables users to access emergency assistance, share real-time location information, and communicate with trusted contacts during critical situations. By integrating safety features into a single platform, the system aims to provide quick response mechanisms and improve personal security. Key features of theWSERS include a user-friendly interface for registration and profile management, allowing users to securely maintain personal information and emergency contact details. The system incorporates an SOS emergency alert feature that enables users to instantly notify their trusted contacts during emergencies. Real-time location tracking functionality allows emergency contacts to monitor the user's location and provide timely assistance when required. Additionally, the platform includes safety awareness resources, emergency history records, and notification services to ensure effective communication and rapid response. The system also focuses on reliability, accessibility, and data security by implementing secure authentication mechanisms and protected data storage. Advanced technologies are utilized to ensure smooth operation across multiple devices and platforms. Furthermore, the application can be integrated with location services and communication systems to provide accurate tracking and efficient emergency management. In summary, the Women's Safety and Emergency Response System offers a scalable, secure, and usercentric solution that empowers women, enhances personal safety, and contributes to creating a safer environment through technologydriven emergency response and support services.Item Project report on MAVForensic(New Horizon College, 2026) Preetham, M., U19KU23S0118MAV Forensics is a web-based Digital Forensic Evidence and Crime Investigation Management System developed to modernize crime reporting, evidence handling, and investigation management. The system allows victims to register complaints online by selecting predefined crime categories, uploading ID proof, address details, and digital evidence such as images, videos, and PDF documents. Based on the severity of the complaint, the system automatically assigns police officials such as constables, SI, PSI, cyber officers, and investigators. The project includes secure role-based access for Admins, Police Officers, Investigators, Lawyers, and Victims with an approval-based registration system. Officers can upload investigation reports, forensic evidence, case summaries, and hearing schedules, while victims and lawyers can track case progress through dedicated dashboards. MAV Forensics also features a professional cybersecurity-style analytics dashboard with crime statistics, investigation reports, evidence management, and real-time activity monitoring. The system is developed using PHP, MySQL, HTML, CSS, JavaScript, AJAX, and Chart.js with strong security mechanisms such as authentication, file validation, role based authorization, and secure evidence storage. The project demonstrates the practical implementation of digital forensics, cybercrime management, and modern crime investigation technologies in a secure and efficient web platform.Item Project report on pet care tracker(New Horizon College, 2026) Poorvika, K., U19KU23S0117The PetCare Tracker is a web-based application designed to provide a centralized and efficient platform for managing various pet care activities. In today’s fast-paced lifestyle, many pet owners struggle to keep track of grooming schedules, veterinary appointments, training sessions, and other essential pet care services. Traditional methods such as manual records, phone reminders, and paper-based scheduling often result in missed appointments, poor organization, and inconvenience. To overcome these challenges, the PetCare Tracker offers a digital solution that simplifies pet care management through automation and easy accessibility. The system enables users to create accounts, log in securely, browse available services, and book appointments according to their preferences. It provides a user-friendly interface that allows pet owners to manage their pet-related activities conveniently from a single platform. Users can also submit reviews and ratings based on their experiences, helping improve service quality and assisting other users in making informed decisions. Additionally, a contact feature is provided to facilitate communication between users and service providers. The application is developed using PHP for server-side processing and business logic, while HTML and CSS are used to create an attractive, responsive, and interactive user interface. Instead of relying on a traditional database management system, the project uses JSON-based file storage to manage data efficiently. This approach reduces complexity, minimizes deployment costs, and makes the system suitable for academic and small-scale real-world applications. The use of structured file storage ensures that user information, appointments, reviews, and contact messages are maintained systematically. Security and reliability are important aspects of the system. The application implements session-based authentication, password hashing, input validation, and role-based access control to protect user data and prevent unauthorized access. The admin module provides complete control over the platform by allowing administrators to monitor registered users, appointments, reviews, and contact messages. These features ensure smooth system operation and efficient management of all activities performed within the platform. The project follows the Software Development Life Cycle (SDLC) methodology, including planning, requirement analysis, system design, development, testing, deployment, and maintenance phases. Comprehensive testing procedures are conducted to verify system functionality, usability, performance, and security. The application is deployed using AWS EC2 cloud services, making it accessible through the internet and demonstrating practical implementation of cloud-based web application deployment. Overall, the PetCare Tracker serves as an effective solution for improving pet care management by reducing manual effort, enhancing organization, and increasing user convenience. The project demonstrates the practical application of web development technologies, secure authentication mechanisms, cloud deployment, and data management techniques. Future enhancements such as database integration, online payment facilities, real-time notifications, and mobile application support can further improve the scalability and functionality of the system, making it suitable for larger-scale commercial use.Item Project report on online library management system(New Horizon College, 2026) Pavan Sanjeev Reddy, K., C., U19KU23S0116This project proposes the development of an online library management system to streamline library operations and enhance user experience. The system will cater to different user roles: Members:Searchthelibrarycatalog,borrowandreturnresources,andmanagetheir accounts. Librarians:Manageresources(adding,editing,trackingavailability),useraccounts, and generate reports. Admin:Configuresystemsettings,manageuserrolesandsecurity. The system will encompass a comprehensive resource collection including books, e- books, audiobooks, and potentially other formats (define as needed). Management features will include user and resource management, borrowing and returns functionality, robust search capabilities, and reporting tools for analyzing resource usage and user activity. Abstract principles like data encapsulation, inheritance, and polymorphism will be employed to ensure a modular, secure, and flexible design. This promotes code reusability, simplifies maintenance, and allows for future expansion with minimal modifications. The system will prioritize secure user authentication and authorization to restrict actions based on user roles. Error handling and scalability will also be addressed to ensure a robust and user-friendly experience. This project aims to provide a comprehensive and efficient online library management system, fostering improved resource organization, streamlined workflows, and enhanced user access to library resources.Item Project report on service based e-commerce website(New Horizon College, 2026) Pavan Kumar, S., U19KU23S0115The Service Based E-Commerce Website is a web application developed to provide various services through an online platform. The main objective of this project is to simplify the process of searching, booking, and managing services for customers in an efficient manner. The system allows users to access different services from anywhere using the internet, which saves both time and effort. The website provides a user-friendly interface where customers can register, log in, browse available services, and book services according to their requirements. Different categories of services can be displayed on the website with detailed information such as service description, pricing, and availability. This helps users make better decisions before booking a service. The project is developed using front-end technologies such as HTML, CSS, and JavaScript to create an interactive and responsive web interface. The back-end of the system can be developed using PHP or Node.js with MySQL database support for storing customer information, booking records, payment details, and service management data securely. The system also includes an admin module that helps the administrator manage users, services, bookings, and payments efficiently. The admin can add new services, update service details, remove outdated services, and monitor customer activities through the dashboard. This improves the overall management and maintenance of the website. Security and data management are important aspects of the project. User authentication and database connectivity help maintain accurate records and protect customer information. The system reduces manual work and minimizes errors by automating service booking and payment processes through an online platform. The Service Based E-Commerce Website is beneficial for both customers and service providers. Customers can easily access services anytime, while service providers can reach a larger audience through the internet. The project demonstrates the practical implementation of full stack web development concepts and provides an effective digital solution for online service management.Item Project report on grocery order(New Horizon College, 2026) Parameshwarappa Rishi, U19KU23S0114A Grocery Order means the process of purchasing grocery items such as vegetables, fruits, snacks, dairy products, beverages, and household essentials from a store, supermarket, or online platform The Grocery Order Management System is a web-based application developed to simplify and automate the process of ordering grocery products online. The system is designed to provide customers with an easy and convenient shopping experience while helping store owners manage products, orders, and customer information efficiently. The application allows users to browse various grocery items, add products to the cart, place orders, and make payments through an organized digital platform. It also provides features such as user registration, product categorization, order tracking, and billing management. On the administrative side, the system enables the admin to manage inventory, update product details, monitor customer orders, and generate sales reports. The main objective of this project is to reduce manual work, save time, and improve accuracy in grocery store operations. The system ensures better customer satisfaction by offering a fast, secure, and user-friendly ordering process. It also helps businesses maintain proper records and improve operational efficiency. The Grocery Order Management System is developed using modern technologies and follows a structured database approach for secure data handling. This project demonstrates the practical implementation of software development concepts such as database management, user authentication, and online transaction processing.Item Project report on business sales analyzer & revenue predictor(New Horizon College, 2026) Parachuri Rishitha, U19KU23S0113The "Business Sales Analyzer & Revenue Predictor" is an intelligent, fullstack web platform engineered to provide small business and shop owners with an automated, user-friendly business intelligence solution. Traditional operational models in small-scale retail often suffer from inefficient, manual record-keeping or reliance on overly complex and expensive enterprise analytical suites that require high-level technical expertise. This project bridges that gap by offering a streamlined web-based interface that allows non-technical users to upload raw sales datasets in CSV format for instant, automated processing. The system utilizes a robust Python and Flask backend to handle data ingestion, while the Pandas engine automates critical data transformation tasks, including cleaning, filtering, and aggregation of complex transaction logs. To provide actionable insights, the application integrates Plotly, enabling the visualization of multi-axis sales performance metrics, such as revenue trends, inventory velocity, and customer purchasing patterns. Furthermore, the inclusion of a Scikit-learn Machine Learning module allows the system to perform predictive analysis. By applying Linear Regression algorithms, the platform generates accurate, data-driven forecasts for future revenue, allowing business owners to transition from reactive bookkeeping to proactive strategic management. This report documents the full development lifecycle, from system architecture and logical flow design to implementation, rigorous testing, and final visual deployment.Item Project report on smart hospital and doctor appointment system(New Horizon College, 2026) Parachuri Nikitha, U19KU23S0112The "Smart Hospital and Doctor Appointment System" is a robust, web-based solution engineered to digitalize and streamline the management of clinical operations. Built using Python and the Streamlit framework, this application provides an integrated interface for both patients and medical professionals, effectively bridging the gap between healthcare providers and those seeking care. The system addresses critical challenges in modern healthcare administration, such as inefficient appointment scheduling, disorganized patient records, and the lack of realtime emergency responsiveness. By leveraging a centralized SQLite database, the system allows for secure data storage, enabling features like automated appointment booking, patient history tracking, and medical prescription generation in PDF format. Furthermore, the inclusion of a specialized "Emergency SOS" module ensures that critical cases are flagged immediately, facilitating faster clinical intervention. With its intuitive dashboard, medical staff can monitor bed occupancy, view appointment queues, and analyze hospital performance using interactive data visualizations generated by Plotly. This project serves as a comprehensive tool to minimize manual documentation errors and optimize the quality of hospital services through technology driven automation.Item Project report on online loan application and tracking portal(New Horizon College, 2026) Padmavathi, K., U19KU23S0111The rapid digitization of financial services has transformed the way individuals andinstitutions manage loan processing and credit accessibility. In response to this evolution, theONLINE LOAN APPLICATION AND TRACKING PORTAL was developed as a fullyintegrated full-stack web application to streamline and automate the loan applicationlifecycle. Designed for both end-users and administrators, the system enables secure userauthentication, loan application submission, and real-time status tracking, while equippingadministrators with tools to review, approve, or reject loan requests efficiently. Leveraging modern web technologies such as React with Vite for the frontend and Node.jswith Express for the backend, the system connects seamlessly to a MongoDB database,offering scalable and responsive performance. This digital transformation enhances userexperience through intuitive interfaces, mobile responsiveness, and instant notifications,while backend services ensure data integrity, security through JWT authentication, andreliable performance through RESTful APIs. However, digitizing loan processes also introduces challenges related to data privacy, fraudprevention, and operational transparency. The system addresses these concerns throughsecure data handling, role-based access control, and audit-friendly records. As financialservices become increasingly digital and customer-centric, emerging technologies like AI-driven risk assessment, automated decision engines, and cloud-native deployments holdpotential for future expansion. the online loan application and tracking portal reflects a growingdemand for agile, user-friendly, and secure financial platforms. By aligning with digitaltrends and addressing the needs of both applicants and loan administrators, it positions itselfas a forward-thinking solution in the evolving fintech landscape.Item Project report on Kwik-EMS(New Horizon College, 2026) Deepak Rao, P., P., U19KU23S0110Kwik-EMS is a web-based Employee Management System designed to automate corporate human resource workflows, tracking pipelines, and payroll processing. Built using the popular MERN stack (MongoDB, Express.js, React.js, and Node.js) and inspired by full-stack architectural blueprints, the platform replaces outdated manual paperwork with a centralized, secure digital workspace. The system utilizes a split-role security architecture divided into two primary gateways: an Administrative Control Dashboard and an Employee Self-Service Portal. Route-level session middleware ensures strict role-based access control, preventing standard staff profiles from accessing administrative features. Through these portals, administrators can onboard new staff, approve or reject leave applications, and manage monthly compensation sheets smoothly. A core feature of the platform is its strict Three-Tier Data Validation Architecture implemented across the user interface, backend API, and cloud database schemas. To maintain high data integrity, the system programmatically enforces precise business rules, including: • Name Restrictions: Rejecting numbers and symbols to ensure proper alphabet formatting. • Phone Number Rules: Forcing input fields to accept exactly 10-digit numerical patterns. • Salary Limitations: Restricting compensation fields to positive numeric values greater than zero (Salary > 0). The application utilizes a MongoDB Atlas cloud database cluster to store information reliably across dynamic collections. Comprehensive testing confirms that the application is highly secure against script injections, handles errors gracefully via visual tooltips, and functions seamlessly as a cost-effective intranet software solution. Kwik-EMS successfully bridges the gap between workforce tracking and payroll automation, offering a highly scalable foundation for modern business administration.Item Project report on cloud kitchen management(New Horizon College, 2026) Nithyashree, M., U19KU23S0107The Cloud Kitchen System Design project represents a comprehensive solution for managing modern cloud-based food preparation facilities. Cloud kitchens, also known as virtual restaurants or ghost kitchens, are centralized commercial food preparation centers designed for delivery only. Unlike traditional restaurants, they operate without a physical dining space and focus exclusively on fulfilling online food orders. The digital transformation of the food service industry has necessitated the development of robust management systems that can handle complex operations including inventory management, order processing, staff coordination, delivery tracking, and financial management. This project addresses these requirements by providing an integrated platform that streamlines all operational aspects of a cloud kitchen. The system is designed using a modern technology stack including Python with the Reflex framework for front end development, Node.js with Express.js for backend services, MongoDB for data persistence, and React.js for interactive user interfaces. This combination ensures scalability, reliability, and optimal performance across all operational modules.Item Project report on expense tracker(New Horizon College, 2026) Shree Vidya, P., M., U19KU23S0109In today's fast-paced world, managing personal finances has become increasingly important. With the rise in daily expenses and digital transactions, it is essential for individuals to keep track of their spending habits. However, many people still rely on manual methods such as writing expenses in notebooks or simply estimating their spending, which often leads to inaccuracies and poor financial planning. This creates a need for a reliable, efficient, and user-friendly system that can help users manage their expenses effectively. The Expense Tracker System is a web-based application designed to address this problem by providing a digital platform for recording, monitoring, and analyzing daily expenses. The system allows users to add, view, edit, and delete their expense records in a structured manner. It also provides a dashboard that visually represents spending patterns through charts such as pie charts, bar graphs, and line graphs. These visualizations help users understand where their money is being spent and identify areas where they can reduce unnecessary expenses. One of the key features of this project is the implementation of a budget management system, where users can set a monthly budget and track their remaining balance. This encourages disciplined spending and helps users avoid overspending. Additionally, the system includes AI-based summary and smart insights, which analyze user data and provide meaningful suggestions such as identifying the highest expense category, average spending, and personalized recommendations to improve financial habits. The application is developed using modern web technologies including HTML, CSS, Bootstrap, JavaScript, PHP, and MySQL. The frontend ensures an interactive and responsive user interface, while the backend handles data processing, authentication, and database operations. The system is deployed using online hosting services, making it accessible from anywhere with an internet connection. Overall, the Expense Tracker System simplifies the process of financial management by providing an organized, automated, and intelligent solution. It not only helps users maintain records of their expenses but also empowers them to make better financial decisions through analysis and insights. This project demonstrates the practical application of web development technologies in solving real-world problems efficiently.Item Project report on multidoc chatbot(New Horizon College, 2026) Nishant Dwivedi, U19KU23S0105Artificial Intelligence is one of the most significant technological advancements of the modern era. It refers to the ability of machines and computer systems to perform tasks that traditionally require human intelligence. These tasks include problem-solving, decision-making, speech recognition, image analysis, language understanding, and learning from data. Artificial Intelligence has transformed various industries such as healthcare, finance, education, transportation, entertainment, and cybersecurity. AI systems are capable of processing huge amounts of data and identifying patterns that humans may not easily detect. The primary goal of Artificial Intelligence is to create systems that can think, reason, learn, and interact intelligently with humans. AI technologies have evolved rapidly due to improvements in computational power, data availability, and machine learning algorithms.Item Project report on matrix clothing(New Horizon College, 2026) Nisha Thapa, C., U19KU23S0104Matrix Clothing is a web-based recommerce platform developed to promote sustainable fashion by enabling users to buy and sell pre-owned clothing products online. The increasing impact of fast fashion and textile waste has created a need for eco-friendly solutions that encourage the reuse and recycling of garments. This project aims to provide an affordable, user-friendly, and efficient marketplace where sellers can upload second-hand clothing items and buyers can easily browse and purchase them. The system is developed using Python Django as the backend framework along with HTML, CSS, JavaScript, and SQLite for frontend design and database management. Django provides secure authentication, database handling, and scalable web application support. The platform contains separate functionalities for buyers and sellers, including user registration and login, product uploading, image management, category-based browsing, shopping cart management, order placement, address management, and payment simulation. The buyer module allows users to search products, add items to the cart, place orders, and view order history. The seller module enables users to upload product details, manage listings, and confirm orders. The application also includes responsive user interface designs, validation mechanisms, and secure data handling features to improve the overall user experience. The project focuses on promoting sustainable consumer behaviour by extending the lifecycle of clothing products and reducing unnecessary textile waste. It also benefits users by providing affordable fashion options and an opportunity to earn money from unused garments. Matrix Clothing demonstrates how modern web technologies can be used to develop practical e-commerce solutions that support both environmental sustainability and digital commerce. Future enhancements may include real payment gateway integration, chatbot support, recommendation systems, and advanced product filtering features.Item Project report on Kawasaki web page(New Horizon College, 2026) Nikhil, M., U19KU23S0103The Kawasaki Bike Showroom and Test Drive Booking System is a modern web-based application developed to simplify and enhance the process of exploring motorcycles and booking test rides. In the traditional system, customers are required to physically visit showrooms to gather information about available bike models, their specifications, pricing, and to schedule test rides, which can be time-consuming, inconvenient, and limited to showroom working hours. This often leads to delays and difficulty in comparing different models. To overcome these challenges, the proposed system provides a digital platform where users can access all relevant information from anywhere at any time. Customers can browse a wide range of Kawasaki bikes, view detailed specifications such as engine capacity, mileage, and features, check prices and available color options, and use an integrated EMI calculator to estimate monthly payments based on their budget. Furthermore, the system allows users to book test rides online by selecting their preferred date and time, making the process quick and hassle-free. The application also reduces manual work for showroom staff and improves overall efficiency. By offering convenience, better accessibility, and a user-friendly interface, this system enhances customer experience, supports informed decision-making, and represents a significant step toward digital transformation in the automotive showroom industry.Item Project report on eternarings: moneyexpense tracker(New Horizon College, 2026) Navaneetha Rajashekar, U19KU23S0102In today's digital world, managing personal finances has become increasingly important. Many individuals face difficulties in tracking their daily expenses, monitoring spending habits, and maintaining a proper budget. Traditional methods such as writing expenses in notebooks or maintaining manual records are time-consuming, prone to errors, and often fail to provide meaningful insights into financial activities. To overcome these challenges, an Expense Tracker Application is developed to help users manage their income, expenses, and budget efficiently. The Expense Tracker Application is a web-based system designed to record, organize, and analyze financial transactions. It enables users to add expenses, categorize spending, set monthly budgets, and monitor their financial performance through an interactive dashboard. The application provides a clear overview of total spending, remaining budget, average daily expenses, and category-wise expenditure, helping users make informed financial decisions. The primary objective of this project is to simplify expense management and promote better financial planning. By automating the process of expense tracking, users can easily maintain records of their transactions without the need for manual calculations. The system also provides visual representations such as progress bars and spending summaries, making financial data easy to understand and analyze. The application is developed using modern web technologies that ensure a user-friendly interface, fast performance, and secure data management. It allows users to access their financial information anytime and anywhere through a web browser. Features such as expense history, budget tracking, spending categorization, and dashboard analytics enhance the overall user experience and provide valuable insights into spending patterns. This project serves as an effective solution for students, professionals, and households who wish to monitor and control their expenses. By providing accurate financial records and budget monitoring tools, the Expense Tracker Application helps users improve their financial discipline, avoid overspending, and achieve their financial goals. Overall, the system demonstrates how technology can be utilized to make personal finance management more efficient, organized, and accessible.Item Project report on personal productivity dashboard(New Horizon College, 2026) Natarajan Ramachandran, U19KU23S0101The Personal Productivity Dashboard is a web-based application developed using Python, Streamlit, and Pandas to help users organize, track, and manage their daily tasks efficiently. The system provides a centralized platform where users can create tasks, assign priorities, set deadlines, monitor progress, and track task completion status. By offering an intuitive and user-friendly interface, the application enables users to manage their personal and professional activities in a structured manner. The dashboard allows users to add, update, and delete tasks while categorizing them based on priority levels such as High, Medium, and Low. It also includes task completion tracking, deadline management, search functionality, and progress monitoring features. The system automatically calculates task statistics, including the total number of tasks, completed tasks, pending tasks, and overall completion percentage, providing users with valuable insights into their productivity. To enhance usability, the application presents information through a clean and interactive graphical interface. Users can easily view their task list, filter tasks, mark tasks as completed, and download task reports for future reference. The dashboard helps users improve time management, increase productivity, and maintain better control over their daily responsibilities. The proposed system offers several advantages, including improved task organization, efficient deadline tracking, enhanced productivity monitoring, and simplified task management. By automating routine task-tracking activities, the application reduces manual effort and helps users focus on achieving their goals effectively. Overall, the Personal Productivity Dashboard serves as a practical and efficient productivity management tool that enables users to plan, organize, and monitor their activities systematically. The project demonstrates the effective use of Python programming, data management, and modern user interface development techniques in creating a real-world productivity solution.Item Project report on leaf disease detection system(New Horizon College, 2026) Nanditha, K., M., U19KU23S0100Plant diseases are one of the major challenges faced by farmers and agricultural industries worldwide. Diseases affecting leaves can significantly reduce crop yield, quality, and overall productivity, leading to economic losses and food security concerns. Early identification and diagnosis of leaf diseases are essential for implementing timely treatment measures and preventing the spread of infections. Traditionally, disease detection relies on manual inspection by agricultural experts, which can be time- consuming, costly, and prone to human error, especially in large-scale farming environments. With the advancement of Artificial Intelligence (AI), Machine Learning (ML), and Computer Vision technologies, automated plant disease detection systems have become increasingly effective and accessible. These systems analyze images of plant leaves and identify diseases based on visible symptoms such as discoloration, spots, lesions, and texture changes. Automated solutions help farmers make informed decisions quickly and improve crop management practices. This project presents an **AI-powered Leaf Disease Detection System** developed using **Python**, **Streamlit**, **FastAPI**, **Groq AI Vision Model**, and **Pillow (PIL)**. The system enables users to upload images of plant leaves through a user-friendly web interface. The uploaded image is processed and analyzed using advanced AI vision capabilities to identify potential diseases and provide relevant information about the detected condition. The integration of FastAPI ensures efficient communication between the frontend and backend through REST APIs, while Streamlit offers an interactive and responsive user experience. The primary goal of this project is to provide a simple, accurate, and scalable solution for leaf disease diagnosis that can assist farmers, agricultural researchers, and students. By leveraging modern AI technologies, the system reduces dependency on manual diagnosis and promotes precision agriculture practices. Furthermore, the application demonstrates how cloud-based AI models can be integrated into web applications to solve real-world agricultural problems efficiently. Overall, the Leaf Disease Detection System contributes to sustainable farming by enabling faster disease identification, minimizing crop losses, and supporting data-driven agricultural decision- making. The project showcases the practical application of artificial intelligence in agriculture and highlights the potential of AI-powered vision models in enhancing crop health monitoring and management.