BCA Final Year Project Report

Student attendance management system deal with the maintenance of the student’s attendance details.

Payroll Management system is to provide an option to generate the salary automatically every month.

Expense Tracker is a system which will keep a track of Income-Expense of a House-Wife on a day to day basis.

ERP College Management Module which is used by Schools as well as Colleges to manage their daily activities.

This website is designed to attend to all your needs – from buying property, selling property or renting/ leasing of property in india.

This online matrimonial site is mainly developed to let individual find their potential matches.

The main purpose of this project is to book a bike and car on rent at the fare charges.

Online Election System would have Candidate registration, document verification, auto-generated User ID.

Online Examination System refers to service as conduct online examination or test.

The main idea is to implement an online system for managing the internet customers and complaint system.

A library management is a project that manages and stores books information according to students needs.

This Hospital Management System package is used to automate all the activities of the Hospital.

The Heart Disease Prediction application is an end user support and online consultation project.

Event management is the application of project management to the creation and development of large scale events

The business-to-consumer aspect of electronic commerce (e-commerce) is the most visible business use of the WWW.

The main aim of this project Online Pizza Ordering System is to sell Pizza online order.

Online Book store is an online web application where the customer can purchase books online.

Campus Recruitment System is a platform that provide interface between students and company.

The main aim of developing this software is to provide blood to the people who are in need of blood.

Three level image password authentication is a secure login method that uses a series of images to authenticate a user. It works by having the user choose three images from a set of predetermined images at the start of the authentication process. The user is then asked to select the same three images when they log in. The system then compares the choices made by the user to its stored record of the images chosen at the initial registration. If the images match, the user is authenticated. This system provides for an additional layer of security as the images used for authentication are not easily guessed or shared. Furthermore, the images are random and do not contain any personal information about the user, making it difficult for an attacker to guess the images correctly. This makes three level image password authentication an effective and secure way to protect access to sensitive information.

Employee Leave Management System is a computerized system designed to streamline the process of tracking employee leave. It allows the organization to monitor and manage employee leaves, such as vacation time, sick days, personal days, and other types of leaves. This system helps to automate and simplify the process of managing employee leaves. The system tracks and records employee leave requests, approves or denies requests based on company policies and accrual rules, and helps to maintain accurate records of employee leaves. It also allows the organization to monitor leave usage and helps to ensure that employees are taking the appropriate amount of leave. The system also provides reports and analytics to help the organization make informed decisions about leave policies and accrual rules. Employee Leave Management System helps to ensure compliance with legal requirements and make sure that employees are taking the required amount of leave.

Bus reservation system is an online platform that allows customers to book their tickets ahead of time for buses. The system offers various benefits to users such as easy ticket booking, online payment and tracking of buses. It also enables users to compare fares, check availability and book tickets in advance. Customers can choose from a variety of options available, such as one-way, round-trip and multi-city tickets. They can also customize their tickets and select specific bus routes, timings and pick-up/drop-off points. Additionally, customers can avail discount offers, loyalty programs and other promotional deals when booking tickets. The system also provides a secure payment gateway with multiple payment options, allowing customers to pay using debit/credit cards or net banking. Furthermore, users can track their buses in real-time and view estimated arrival and departure times. The system also provides customer support and assistance in case of any issues or queries regarding their ticket booking. Thus, the bus reservation system has made traveling much more convenient and hassle-free for customers.

The Tour and Travel project is an innovative platform aimed at facilitating seamless travel experiences for users. This project integrates various features including itinerary planning, destination recommendations, real-time booking facilities for accommodations and transportation, user reviews and ratings, and personalized travel suggestions based on user preferences and historical data. Through this project, students will delve into the realms of web development, database management, and user experience design, ultimately delivering a comprehensive solution that enhances the way individuals explore and engage with the world around them.

The Task Manager App is a productivity tool that combines task management, to-do lists, and note-taking functionalities. Users can efficiently organize, prioritize, and track their tasks, create to-do lists for better task categorization, and take notes for important information. The user-friendly interface, synchronization across devices, reminders, and optional collaboration features make it a comprehensive solution for streamlined productivity.

The social networking platform project aims to develop a comprehensive web-based application that provides users with a safe, engaging, and user-friendly environment for social interaction, content sharing, and community building. The platform will incorporate advanced features such as automated content moderation and context-based authentication to enhance user experience and security.

The Real-Time Chat Application is a modern and user-friendly platform that enables users to engage in live conversations instantly. The application features user authentication for secure logins, real-time messaging for instant communication, and the ability to join multiple chat rooms based on interests or topics. Users can see the online status of others for active communication and access message history for reviewing past conversations. The application offers a responsive design for optimal user experience across various devices and allows users to customize their profiles with profile pictures, usernames, and other preferences. Comprehensive error handling, scalability, and security measures are also implemented to ensure a smooth and secure chatting experience.

The News Portal Project is a dynamic web-based application designed to provide users with real-time access to news content. Admins can efficiently manage the platform through a dedicated dashboard, where they can oversee categories, subcategories, and the total count of published news. They have the capability to add, delete, or modify categories and subcategories, as well as create, update, or remove news posts. Furthermore, admins can moderate reader comments by approving or unapproving them. Users have the freedom to explore news articles and search for specific topics of interest. They can also engage with the content by leaving comments on individual news items. With robust security measures in place, the system ensures unauthorized access is prevented, offering a secure and seamless news browsing experience for all users.

The Teacher Record Management System (TRMS) project is a comprehensive software solution designed to efficiently manage and organize teachers' records. Its main objective is to facilitate the systematic recording, storage, and updating of teachers' information, making it easier for users to search for teachers based on their specific requirements. The system features an intuitive user interface with distinct functionalities for administrators and users. Administrators have access to a dashboard providing a brief overview of subjects and registered teachers, along with the ability to manage subjects, view teacher profiles, and update their own profile and password. Users, on the other hand, can sign up, sign in, update their profiles, change passwords, and search for teachers by subject name. Overall, the TRMS project streamlines the process of managing teachers' records and enhances the efficiency of searching for teachers, making it a valuable tool for educational institutions.

An Internet Service Provider (ISP) is a company that provides individuals, businesses, and other organizations access to the internet and related services. ISPs facilitate connectivity through various technologies such as DSL, cable, fiber optics, and satellite. They offer a range of services including internet access, email hosting, domain registration, web hosting, and cloud storage. ISPs manage network infrastructure, ensuring reliable and high-speed internet connections for their customers. They play a crucial role in the digital economy by enabling online communication, information retrieval, e-commerce, and access to entertainment content, contributing significantly to global connectivity and communication advancements.

The ATM Management System is a comprehensive software solution designed to streamline and enhance the operations of automated teller machines (ATMs). This system aims to provide a secure, efficient, and user-friendly interface for both customers and bank administrators. With the increasing reliance on electronic banking services, such as cash withdrawals, deposits, and account inquiries, the need for robust ATM management systems has become paramount. This project focuses on developing a reliable platform that integrates seamlessly with existing banking infrastructure to improve service delivery and customer satisfaction.

This project aims to revolutionize cervical cancer detection by leveraging advanced imaging techniques and machine learning algorithms. Cervical cancer remains a significant health challenge globally, often detected at advanced stages due to limited accessibility to regular screenings. By employing sophisticated image processing algorithms and machine learning models, this project seeks to improve the accuracy and efficiency of cervical cancer diagnosis. The system will analyze digital images of cervical cells or tissues, extracting critical features that traditional methods might miss.

The Online Birth and Death Certificate System is an innovative project designed to streamline the process of issuing birth and death certificates through a user-friendly web application. This system enables users to apply for certificates, upload necessary documents, and track application status online. It incorporates robust data validation, secure user authentication, and automated workflow management to ensure accuracy and efficiency. Built using Django and MySQL, the project aims to reduce administrative burden, minimize errors, and provide citizens with quick access to vital records. Ideal for final year students, this project demonstrates practical applications of web development and database management skills.

The Online Notes Sharing System is a web-based platform designed to facilitate seamless sharing and collaboration of academic notes among students and educators. This system allows users to upload, download, and manage various types of notes, including lecture summaries, study guides, and research papers. Key features include user authentication, categorization of notes by subject or course, a search function for easy retrieval of specific documents, and a rating system for users to evaluate the quality of shared content. The platform also offers real-time notifications to keep users updated on new uploads and comments. By providing a centralized repository for educational materials, the Online Notes Sharing System promotes collaborative learning, enhances access to quality resources, and reduces duplication of efforts.

The "Concrete Crack Detection" project utilizes computer vision and machine learning to automate the detection of cracks in concrete structures. By employing image processing techniques and ResNet-based transfer learning models, the system effectively identifies structural damages, achieving an F1 score of 1. This approach streamlines building damage surveillance, ensuring timely maintenance and safety.

The "Online Railway Reservation System" is a comprehensive web-based platform.The system allows users to search for available trains, book tickets, view booking details, and check train statuses in real-time. Administrators have the capability to manage train schedules, release new trains, and monitor bookings and user activities.

The Sorting Visualizer project is a dynamic tool designed to demonstrate the operation of various sorting algorithms such as Bubble Sort, Cocktail Sort, Heap Sort, and more. It allows users to customize several parameters, including the speed of visualization (ranging from Very Fast to Very Slow), the size of the array (from 10 to 50 elements), and the colors for bars, comparisons, and sorted elements.

The Weather Forecasting application allows users to search for weather conditions by entering a city name and provides weather forecasts for the next 5-6 days, with updates at three-hour intervals. This user-friendly app delivers essential weather information, including temperature, humidity, and wind speed, making it ideal for anyone planning their daily activities or travel. The interface is designed to be visually appealing, easy to navigate, and accessible across devices. Additionally, it offers the convenience of viewing weather forecasts for multiple cities and future dates. This project demonstrates the importance of weather forecasting for daily life and serves as a practical tool for users to stay informed about weather conditions in different locations.

The Simple Music Application is a full-stack web application designed for music enthusiasts to explore, listen to, and rate a diverse collection of songs. Users can easily search for their favorite tracks, view detailed information about each song—including the movie, album, and artist—and adjust their ratings, which are saved in a persistent database. The application offers a responsive design, ensuring an optimal experience on both mobile and desktop devices. With an intuitive user interface, users can navigate through the app effortlessly, discovering the top-rated songs and enjoying seamless music playback. The project showcases the integration of front-end and back-end functionalities, providing a comprehensive platform for music lovers to engage with their favorite tracks. Overall, the Simple Music Application emphasizes user engagement and convenience, making it an enjoyable tool for discovering and managing music.

The Rail Pass Management System is a web-based application designed to streamline the process of issuing and managing railway passes for daily commuters. This system effectively reduces the administrative burden by minimizing paperwork and expediting the pass application process. It features two primary modules: an admin panel for managing categories, passes, user inquiries, and generating reports, and a user interface that allows individuals to view and print their passes using a unique pass number. Additionally, users can access information about the system and contact the administration directly. The application aims to enhance user experience by providing a simple and efficient solution for obtaining railway passes, ultimately facilitating smoother travel for users while ensuring effective management for railway authorities. This project not only improves operational efficiency but also fosters better communication between users and the administration.

Overleaf is an open-source, web-based LaTeX editor designed for real-time collaborative writing and editing. It allows users to create, edit, and compile LaTeX documents seamlessly. The platform provides powerful features for managing complex academic, research, and technical documents. With built-in version control, project sharing, and extensive LaTeX libraries, Overleaf enhances productivity for individuals and teams. This project explores Overleaf’s architecture, focusing on its collaborative capabilities, integration with Docker for local installation, and its customizable features for research labs and enterprise environments.

The Client Management System (CMS) is designed to streamline and enhance the management of client-related information for businesses. It includes two primary modules: Admin and Client. The Admin module allows businesses to manage client data, track services offered, generate and print invoices, and review sales reports. It also enables administrators to update their profiles, manage passwords, and recover account information. The Client module, on the other hand, provides clients with a user-friendly interface where they can view and print their invoices, search for invoices, and update their profiles. With automated processes for data entry, invoicing, and reporting, the CMS will help businesses increase operational efficiency, reduce paperwork, and improve client satisfaction through transparent and accessible data management.

The Movie Ticket Booking System is an online platform that simplifies the process of booking movie tickets. It allows users to browse a list of currently available and upcoming movies, view details such as genre, duration, director, and cast, and check show timings at different theaters. Users can conveniently book tickets by selecting their preferred theater, showtime, and seat type, with an option to cancel or modify bookings as needed. The system provides instant confirmation and updates regarding booking status, ensuring a smooth and hassle-free experience. Additionally, users can submit feedback about their movie experience, helping improve service quality. By offering a user-friendly interface and secure transaction process, the system enhances accessibility and eliminates the need for physical ticket purchases. This platform makes movie ticket booking more efficient, convenient, and accessible, allowing users to reserve seats anytime and from anywhere, ensuring a seamless entertainment experience.

The QR Code Management System is a comprehensive platform designed to streamline the creation, tracking, and management of QR codes for both administrators and users. The system features two modules: Admin and User. Administrators have full control over all QR codes, including generating, managing, activating, and deactivating them. They can also monitor detailed reports on QR code usage, such as total scans, device types, browsers, and geographical locations. Additionally, admins can create and manage user accounts with specific permissions, setting usage limits that automatically deactivate QR codes upon exceeding thresholds. Users, on the other hand, can generate and manage their own QR codes while accessing detailed analytics on scans and user engagement. Both admins and users have access to personal profile management and secure logout options. This system is ideal for businesses and individuals seeking an efficient way to generate, track, and control QR codes with detailed insights into their usage and reach.

This project, Real Estate Advanced CRM, is a comprehensive customer relationship management system designed to streamline real estate operations. The system features an intuitive admin dashboard with analytical insights, property, lead, and contact management with advanced search and customization options, and task and meeting scheduling for efficient workflow. It includes communication tracking, an advanced calendar view, and a document management system for organized record-keeping. Additionally, user management ensures role-based access, while customization options allow tailored data validation and form fields. This CRM enhances productivity and ensures seamless real estate business operations.

This project is a basic-level cybersecurity tool that monitors keyboard and mouse activity, recording every keystroke and movement made by the user. It serves as an essential tool for tracking user behavior, enhancing security, and analyzing potential threats. This software can be used in cybersecurity research, user activity logging, and forensic investigations, providing insights into unauthorized access or suspicious activities

The Facial Attendance System using Python and OpenCV is an automated attendance tracking solution that leverages facial recognition technology to enhance accuracy and efficiency. By utilizing machine learning models like FaceNet or LBPH for face identification, the system eliminates manual attendance marking, reducing errors and preventing proxy attendance. It integrates a database (SQLite/MySQL) for secure storage of attendance records with real-time timestamps. A user-friendly interface (Tkinter/Flask) enables easy registration and management of attendance data. This project offers a modern, non-intrusive, and reliable approach to attendance monitoring, with potential future enhancements such as cloud storage and mobile application integration.

This project focuses on detecting fraudulent credit card transactions using machine learning techniques on a real-world dataset containing over 280,000 transactions, with only 492 labeled as fraud, presenting a significant class imbalance challenge. The goal is to develop an intelligent, data-driven fraud detection system that can identify anomalies and suspicious transactions more accurately than traditional rule-based methods. The dataset used has been preprocessed using Principal Component Analysis to anonymize sensitive data, making it suitable for analysis while preserving critical patterns. A variety of machine learning algorithms are implemented and tested to determine the most effective model, with special attention to evaluation metrics like the Area Under the Precision-Recall Curve (AUPRC) to ensure accurate performance in the face of imbalanced data.

The Zoo Management System is a web-based application developed to digitize zoo operations with a focus on ticketing, animal management, and visitor tracking. Designed with two distinct user roles—Admin and User—the platform enables zoo administrators to efficiently manage the details of animals, handle ticket pricing, generate tickets for Indian and foreign visitors, and view insightful reports on daily and periodic ticket sales. Admins can also update their profiles and handle password-related functionalities. On the other hand, users can browse zoo information without requiring login access. Overall, the system aims to enhance operational efficiency, reduce manual workload, and provide better service to zoo visitors

This project focuses on developing an image encryption software that shuffles pixels using cryptographic keys. The encryption is so secure that even with internet access to the images, they cannot be decrypted without the appropriate key. This project explores the basics of cybersecurity and enhances cryptography skills

BuildEstate is a modern, AI-integrated real estate web application designed to revolutionize the property search and investment experience. The platform features a user-friendly interface for property seekers, an admin dashboard for managers, and a backend powered by machine learning algorithms. Key functionalities include smart property recommendations, dynamic valuation tools, virtual tours, and advanced property filtering. Admins can manage listings, appointments, and user data efficiently through a responsive dashboard. BuildEstate stands out by providing real-time market trends and investment insights, enabling users to make data-driven property decisions

The "Stock Market Prediction with LSTM" project is a web-based tool designed to visualize and forecast stock prices using historical data and machine learning. It allows users to input stock tickers and select custom date ranges to view interactive graphs of stock trends. The tool leverages LSTM neural networks for predictive modeling, specifically forecasting the stock price 30 days into the future. The system fetches real-time data via a financial API and also includes the functionality to download this data in Excel (XLS) format. Combining ease of use with powerful analytics, the project serves as a practical and educational resource for students, finance enthusiasts, and aspiring data scientists

The Netflix Clone is a web-based application designed to replicate the functionality and appearance of the popular streaming platform, Netflix. It provides a dynamic and visually appealing interface that allows users to explore a wide range of movie content sourced directly from the TMDB API. The system features a responsive user interface, intuitive navigation, and secure account management, including user registration and login. Users can browse trending and popular movies, search for specific titles, and view comprehensive details about each movie including description, cast, ratings, and posters. The application is crafted with a focus on usability, scalability, and cross-device compatibility, ensuring a seamless experience for users across desktops, tablets, and mobile devices. This short description captures the essential highlights and functional scope of the project, illustrating its relevance and effectiveness as a standalone digital platform

The Sales Forecasting project uses the MERN stack and machine learning to help businesses predict future sales based on historical data. The system is built with MongoDB for storage, Express and Node.js for backend operations, and React for the front-end interface. It uses ML techniques like linear regression to identify patterns in sales data and forecast future performance. Users can view sales trends through interactive charts, generate reports, and securely access data through an authentication system. The project is designed to offer practical insights in a simple, intuitive, and visually appealing format

The Spam Detection System project focuses on building a machine learning model that can accurately identify spam emails using natural language processing techniques. It processes email content to extract relevant features and uses algorithms like Naive Bayes, Logistic Regression, and Support Vector Machines for classification. The model is trained on a labeled dataset and evaluated for performance using standard metrics. The system aims to provide real-time filtering of spam with minimal manual intervention. It also includes data cleaning, feature extraction, model training, and performance evaluation steps. An optional deployment phase integrates the system into an email client for real-time use. With increasing cyber threats through spam, this project provides a smart and scalable solution using Python and libraries like Scikit-learn and NLTK

The License Plate Recognition project is a simple yet effective system that reads vehicle license plates from uploaded images using Plate Recognizer, a third-party API. Built with HTML for the user interface and Python for the back-end logic, the application lets users upload car images, sends those images to the API, and then displays the plate number detected in the image. There’s no database involved, making the system lightweight and easy to deploy. This project showcases how powerful external AI tools can be integrated into academic or professional systems with minimal code and setup. It’s ideal for use cases such as traffic enforcement, smart parking, and vehicle monitoring, and provides students with real-world exposure to API integration and image-based machine learning applications

The Hostel Management System is a complete web-based platform created to manage the core functions of hostel administration in an organized and digital manner. It includes separate modules for admins and students, each with specific roles and responsibilities. Admins can add and manage courses, rooms, and student records, while students can register, log in, and access various hostel-related services. The system also includes a complaint management feature, feedback collection, and password recovery. Built using widely used technologies and compatible with all major web browsers, this project brings a practical solution to the challenges faced in hostel management

The Employee Record Management System is a web-based platform developed to manage the personal and professional information of employees within an organization. It consists of two user roles: User and Admin. The User Module allows employees to register, log in, manage their work and education records, and update their personal details. The Admin Module gives administrative staff the authority to manage all user records, edit or delete employee data, and maintain the overall system. The goal of the project is to replace traditional paperwork and inefficient storage methods with a secure, reliable, and accessible digital system. The system simplifies data entry, minimizes errors, and ensures that information is always available when needed

The Student Record System is a lightweight yet powerful web application that helps educational institutions manage student data effectively. It has been designed using PHP for server-side scripting and MySQL for database management. The system includes an admin module that offers a wide range of features such as student registration, record editing, course and subject management, academic session control, and password protection. With a focus on simplicity and usability, the interface allows the admin to perform all operations through a clean and well-organized dashboard. It replaces the time-consuming manual processes traditionally used in schools with a faster and more reliable digital solution

The Water Management System is a full-fledged e-commerce platform built with the MERN stack to provide a digital solution for buying and selling water products. Users can browse products, manage accounts, maintain carts and wishlists, and place orders securely. Admins get a backend panel to oversee user activity, manage product listings, process payments, and review customer feedback. Additional features include order history, shipping management, email notifications, and data filters to enhance usability. The system focuses on ease of use, performance, and scalability, making it a valuable asset for any water delivery or bottled water business looking to digitize its services

The Bank Locker Management System is a web-based application aimed at simplifying and automating the process of managing locker facilities in banks. Developed using PHP and MySQLi, the system introduces separate modules for Bankers, Sub-Bankers, and Users, ensuring that each user type interacts with the system based on their roles. Bankers can add or manage locker types, assign lockers to customers, and generate reports, while sub-bankers are restricted from creating other sub-bankers but can perform all other functions. Users can log in to view their locker details securely. The platform supports features like profile updates, password management, and logout functionality for security. It is compatible with major browsers and developed using modern web technologies including HTML, AJAX, JavaScript, and JQuery, ensuring a responsive user experience. The system not only reduces manual efforts but also provides transparency and reliability in locker management operations

The Emergency Ambulance Hiring Portal is a web-based application designed to simplify and digitize the process of hiring ambulance services during emergencies. Developed using PHP and MySQL, with HTML, AJAX, JavaScript, and jQuery for the front-end interface, this system plays a crucial role in connecting patients or their relatives directly with ambulance services. The application provides an efficient way for users to request ambulances in real time, while giving admins full control over managing requests, assigning ambulances, updating statuses, and keeping records organized. The system is structured into two main modules: Admin and User. The Admin panel includes a centralized dashboard to monitor various ambulance requests such as new requests, assigned, rejected, on-the-way ambulances, and successful patient pickups. Admins can also manage and update ambulance details, generate date-wise reports, and modify static pages such as “About Us” and “Contact Us.” On the other hand, users or visitors can simply browse the site and request an ambulance without needing a complex registration or login process, ensuring quick access in urgent situations

The Art Gallery Management System is a PHP and MySQL-based web application developed to simplify the management of gallery operations. It includes two modules—admin and user. Admins can manage art products, types, and mediums, as well as track and respond to user inquiries. They also control content pages like About Us and Contact Us, while having access to a summary dashboard. Users, on the other hand, can browse art by type, explore artwork details, and send inquiries directly from the platform. The system ensures smooth interaction between users and administrators while minimizing errors through input validation and alerts. No technical skills are required to operate the system, making it highly accessible. This project replaces traditional manual systems with a modern, efficient, and scalable digital solution aimed at making gallery management more organized, secure, and user-friendly

This project presents a machine learning-based desktop application designed to detect spam emails in a user’s Gmail inbox. Built using Python, the system connects to Gmail via IMAP, fetches emails, and applies a pre-trained Naive Bayes classifier to determine if messages are spam or not. The text data from emails is processed using TF-IDF vectorization, and the results are displayed in a scrollable Tkinter GUI. Users can fetch the latest emails, clear the output, or generate a PDF report of the classifications using the reportlab library. This application is practical, user-friendly, and efficient, providing a smart solution to the everyday problem of spam emails. It is particularly useful for individuals or small businesses looking to filter their emails without relying entirely on third-party or server-level spam filters. The application showcases the real-world application of machine learning and provides a strong foundation for further enhancements and research.

This project is a PHP and MySQL-based blogging website designed to help users create and manage blog content efficiently. It features modules for adding posts, categorizing them, and tagging content for better organization and searchability. The admin panel allows for easy CRUD operations and content control. It is ideal for learners, developers, and bloggers looking for a lightweight and customizable platform. The system is responsive, easy to use, and scalable for future development. This project serves both as a working blog site and an educational tool for understanding backend development, database integration, and basic CMS functionalities

Fake Currency Detection is a deep learning-based project developed to identify counterfeit currency notes by analyzing their visual features using image processing and artificial intelligence. It is designed to address the growing problem of currency fraud in an accessible and efficient way. The system uses Convolutional Neural Networks (CNNs) trained on a dataset containing both genuine and fake Indian currency notes. With the help of image enhancement and feature extraction techniques, the model learns to distinguish between real and fake notes based on subtle differences in design, texture, and embedded security elements. The project utilizes Python, TensorFlow, OpenCV, and runs on platforms like Google Colab for training. The trained model can be used for real-time prediction through a simple interface that accepts currency note images and outputs the classification

DosAttack is a lightweight Node.js-based simulation tool for Denial-of-Service (DoS) attacks, designed specifically for safe educational and testing purposes. It allows users to target any HTTP-compatible server (like localhost) and flood it with customizable HTTP GET requests over a user-defined duration and thread count. Built entirely in JavaScript using Node’s native HTTP module, DosAttack provides real-time monitoring via console logs and detailed request logging into a CSV file. This makes it ideal for studying server behavior under pressure and understanding how DoS attacks work in practice. Unlike existing complex or misused DoS tools, DosAttack is transparent, ethical, and easy to modify—making it perfect for students, network security learners, and academic projects. The tool can be run on any operating system with Node.js installed and does not require administrative privileges. It provides an insightful hands-on experience into traffic generation, threading, logging, and client-server communication, and emphasizes legal usage strictly for testing environments. With future potential for GUI and HTTPS support, DosAttack lays the foundation for responsible DoS simulation in the academic and cybersecurity learning space