This project presents Feedboard, a web-based discussion platform designed for structured communication and collaborative engagement. It allows users to create discussion threads, post responses, and interact through features like upvoting, commenting, searching, and sorting. Built as a full-stack application, it includes user authentication, thread categorization, and a responsive interface. The system also implements a Hot Rank algorithm to highlight trending discussions, ensuring an engaging and organized user experience.

This project presents Click Cart, a web-based e-commerce application that provides a seamless shopping experience with personalized product recommendations. It uses a content-based filtering algorithm to suggest products based on user preferences and product features, improving recommendation accuracy compared to generic systems. Built using the MERN stack (MongoDB, Express.js, React.js, and Node.js), the platform allows users to browse products, set preferences, and receive tailored suggestions. The system enhances user experience by offering relevant recommendations and an efficient, interactive shopping interface.

This project presents a Bill Payment Scheduler, a web-based application designed to help users manage personal finances by tracking income, expenses, and bill payments. It allows users to organize transactions, attach notes and receipts, and receive automated reminders for upcoming due dates. A key feature is the use of Dijkstra’s Algorithm to prioritize bill payments based on urgency, considering factors like amount and due date. Built with Spring Boot, Thymeleaf, and MySQL, the system improves financial planning, reduces missed payments, and promotes better money management habits.

This project presents Pixnep, an e-commerce web application developed to demonstrate online buying and selling through internet-based systems. It uses client-side technologies like HTML, CSS, and JavaScript to create an interactive user interface, while PHP handles server-side operations such as database management, session handling, and shipping cost calculation. The system highlights how modern web technologies work together to provide a functional and user-friendly online shopping experience.

This project presents VideoPlayer, a full-stack video sharing and social media platform that allows users to upload, watch, and interact with video content. It includes features such as likes, comments, subscriptions, watch history, and personalized lists. Built using React, Tailwind CSS, Node.js, Express, and MongoDB, the platform ensures a secure and scalable experience with JWT-based authentication and role-based access control. It also incorporates recommendation systems using collaborative filtering and popularity-based ranking to enhance personalized content discovery and user engagement.

This project presents a freelance portal designed to connect freelancers with clients through an efficient online marketplace. It allows freelancers to post detailed gig listings while enabling clients to browse and discover suitable services easily. To improve user experience, the system incorporates a recommendation engine using TF-IDF and cosine similarity to suggest relevant gigs based on user interests. Built for the growing gig economy, the platform enhances service visibility, improves engagement, and streamlines the process of hiring freelancers.

This project presents Bidstorm, an online bidding system designed to improve traditional auction platforms by offering real-time interaction, enhanced user experience, and secure transactions. The system allows users to register, list products, and place bids in a dynamic auction environment. It follows an English auction model where the highest bidder wins the product. Built with a focus on usability, reliability, and scalability, the platform ensures fairness, encourages user engagement, and modernizes the online auction process.

This project develops a web-based job portal using the MERN stack (MongoDB, Express, React, and Node.js) to improve job searching and recruitment in Nepal. It addresses challenges in the traditional job market by offering features such as user registration, CV uploads, job postings, advanced search filters, and job applications. The system uses the Cosine Similarity Algorithm to analyze user skills, qualifications, and behavior for personalized job recommendations and better candidate matching. With a responsive and scalable design, the platform enhances recruitment efficiency and improves job accessibility for both seekers and employers.

This project presents a modern music streaming system that allows users to stream, search, and manage music through a web interface while receiving personalized recommendations. Built with a modular architecture, it uses MongoDB for scalable cloud-based storage of music data, user profiles, and playlists. The system enables users to browse songs by artist, album, or name and manage favorites and playlists. A Python-based recommendation engine uses TF-IDF and cosine similarity to suggest songs based on lyrics and metadata, enhancing personalized music discovery.

This project presents a simplified web-based stock trading application designed to make investing more accessible and user-friendly. It addresses the complexity of traditional trading platforms by offering essential features such as stock buying and selling, portfolio management, wallet operations, and interactive stock charting. The system also includes an admin panel for managing users and stock data. Built with a focus on usability, it provides a smooth trading experience and helps users easily engage with the stock market, with potential for future real-time data integration.

This project presents a Blockchain-Based Crowdfunding Platform designed to improve transparency and security in online fundraising. It uses Ethereum smart contracts to manage and record campaign data in a decentralized manner. Users can create campaigns, contribute funds, and track real-time progress through a web interface. By leveraging blockchain technology, the system ensures secure transactions and builds trust between contributors and campaign creators, making it suitable for both charitable and startup fundraising.

The EV Charging Station Finder and Slot Booking App is a mobile-based platform designed to help electric vehicle users easily locate nearby charging stations and reserve available charging slots. It provides real-time updates on station availability and enables instant booking to reduce waiting time and improve charging efficiency. The system offers a centralized, user-friendly interface that enhances the overall EV charging experience by making station discovery and slot management more convenient and organized.

This project presents an IoT-based medication management system designed to improve medication adherence and reduce health risks caused by missed doses. It uses Raspberry Pi, sensors, and a mobile application to help users manage and track their medication schedules effectively. The system enhances traditional methods by providing automated reminders and real-time monitoring. Developed and tested through a structured approach, the project demonstrates how IoT technology can improve patient care and medication reliability.

“लोकलBasket” is a grocery shopping application designed to modernize local shopping in urban Nepal by connecting consumers with nearby vendors through a digital platform. It enables users to browse and purchase groceries and household essentials conveniently while helping street vendors expand their reach and improve sales. The system includes features like vendor registration, sales tracking, personalized user experience, and feedback mechanisms. Overall, it enhances accessibility, convenience, and vendor-customer interaction through a unified digital marketplace.

aymentPlus is a payroll management system designed to simplify and automate organizational payroll processes. It helps manage salary calculations, attendance tracking, compliance, and employee data through a centralized and user-friendly interface. Developed for HR professionals and executives, the system addresses common issues in traditional payroll systems such as data inconsistencies and limited functionality under heavy workloads. Although there are areas for future improvement, PaymentPlus provides a structured and efficient solution for modern payroll management needs.

This project presents a real-time face attendance system that automates attendance tracking using facial recognition technology. It replaces traditional manual or ID-based systems with an efficient solution that detects and records attendance through a camera in real time. The system uses OpenCV and face recognition libraries for detection, JavaScript for the frontend, and Firebase for backend data storage. It improves accuracy, reduces proxy attendance, and enhances overall efficiency in environments like schools, offices, and events.

This project presents a simple and efficient chat application designed to prioritize seamless communication without unnecessary complexity. Built using Flutter for a responsive and modern interface and Firebase for real-time messaging and secure authentication, the app offers essential features such as group chats and profile management. By focusing on simplicity, usability, and real-time interaction, the application provides a smooth and engaging messaging experience across devices.

eBizz is a mobile-first e-commerce application designed to provide a seamless shopping experience across iOS and Android devices. Built using Flutter for the frontend, Node.js with Express.js for the backend, and MongoDB for data management, the platform supports user authentication, product browsing, cart management, and integrated payments via Apple Pay and Google Pay. It also includes an admin panel for product management and real-time analytics. The system enhances both user convenience and business efficiency by combining modern mobile design with robust backend functionality.

ChatUp is a modern chat application designed to enhance meaningful digital communication by focusing on authentic user interactions rather than high-volume messaging. Built using Flutter for cross-platform compatibility and Firebase for a secure and scalable backend, the platform offers a smooth, user-friendly messaging experience. It emphasizes privacy, simplicity, and user engagement, aiming to create deeper connections and improve the overall quality of online communication.

ClubConnect is a comprehensive web-based platform designed to simplify and modernize club management in educational institutions and organizations. It addresses issues such as poor communication, lack of real-time updates, and inefficient financial tracking found in traditional systems. The platform provides features like event scheduling, budget management, and collaborative tools within a user-friendly interface. By centralizing operations and enabling real-time updates, ClubConnect improves transparency, efficiency, and member engagement, making club administration more organized and effective.

This project presents a Restaurant Recommendation and Food Ordering Web Application designed to simplify how users discover restaurants and place food orders. It addresses the difficulty of finding suitable dining options by providing personalized restaurant recommendations based on user preferences, dietary needs, and reviews. The platform also allows users to browse menus and place orders through a single, unified interface. By integrating recommendation and ordering features, the system improves convenience, efficiency, and overall user dining experience.

SociablePeak is a social media web application designed to improve user experience by promoting healthier and more efficient digital interactions. It introduces features such as scheduled posting, real-time usage alerts, and detailed analytics to help users manage their online activity better. The platform focuses on reducing digital fatigue while enhancing engagement and productivity. Overall, SociablePeak aims to create a balanced and user-friendly social media environment.

his project presents a blockchain-based crowdfunding platform designed to enhance transparency, security, and efficiency in online fundraising. By leveraging Ethereum smart contracts and MetaMask integration, the system enables secure wallet connections, decentralized fund management, and real-time donation tracking. It eliminates intermediaries, reduces transaction costs, and builds trust among users. Additional features such as campaign categorization and sorting based on time remaining improve usability and accessibility. Overall, the platform offers a reliable and transparent solution for modern crowdfunding needs.

This project presents an Automatic License Plate Detection (ANPR) system that uses deep learning and optical character recognition to identify and extract vehicle registration numbers in real time. The system captures images using a camera sensor, detects license plates with the YOLOv8 model, and extracts alphanumeric characters using EasyOCR. By automating the entire process, it enables fast, accurate, and efficient vehicle identification. The system is suitable for applications such as parking management, security monitoring, and traffic control.

VendorVerse is a multi-vendor eCommerce platform designed to enhance the online shopping experience by improving vendor management, user engagement, and transaction efficiency. It provides comprehensive tools for vendors, secure payment integration, and intelligent search features to simplify product discovery and purchasing. The platform supports seamless interaction between vendors, buyers, and administrators, creating a user-friendly and efficient digital marketplace. Overall, VendorVerse aims to deliver a secure, scalable, and engaging eCommerce environment.

This project presents a Web-Based Social Discussion Platform designed to improve real-time digital communication through a seamless and scalable environment. It uses WebSockets for instant messaging and WebRTC (via LiveKit) for real-time audio and video communication, ensuring low latency and high performance. The platform addresses limitations of existing systems by offering better customization, enhanced privacy, and an integrated user experience. It supports interactive discussions, user management, and secure communication, making it a comprehensive solution for modern online collaboration.

Pahuna Inn” is a hotel reservation system designed to streamline booking and management processes in the hospitality sector. It provides features such as real-time room availability checks, booking confirmations, and secure customer data handling through an integrated platform. Developed using an iterative approach, the system improves booking accuracy, enhances customer experience, and increases operational efficiency. It serves as a scalable solution for modern hotel management and supports better customer relationship management.

This project presents a Flight Booking Application developed using Flutter and Firebase, designed to provide a seamless digital travel experience. It allows users to browse available flights, make bookings, and manage their reservations efficiently. Key features include real-time flight listings, secure user authentication, dynamic fare calculation, and a personalized profile with booking history. With a user-friendly interface and smooth navigation, the application enhances convenience and accuracy in managing travel plans.