This project presents a College Recommendation System designed to help students find suitable colleges based on their preferences such as courses, location, and entrance exam requirements. It uses a MySQL database to store and manage college information, while an admin panel allows data management operations like adding, updating, and deleting records. The system applies filtering techniques to match student inputs with relevant colleges, providing quick and personalized recommendations. It improves decision-making for students and can be further enhanced with AI-based recommendation techniques.

This project presents an e-commerce website focused on baby products, designed to provide a smooth and user-friendly shopping experience for parents and caregivers. The platform offers a wide range of categorized products with features such as advanced search, filtering, and detailed product descriptions. Built with scalability and performance in mind, the system simplifies product browsing, selection, and purchasing, ensuring convenience and efficiency for users while meeting modern e-commerce standards.

This project presents a Rule-Based Chatbot System developed to improve communication and information access for DWIT College. It uses Natural Language Processing (NLP) with a rule-based approach to provide instant responses to user queries related to admissions, courses, and college events. Built using Python and Flask with MongoDB for data storage, the system retrieves predefined answers efficiently. It also includes an admin-controlled CRUD interface to manage and update the chatbot’s knowledge base. The system enhances user experience, reduces administrative workload, and provides 24/7 automated support through the college website.

This project presents Split Smart, a web application designed to simplify shared expense management among friends, families, and colleagues. It automates expense tracking, bill splitting, and payment settlement to ensure fairness and transparency in group finances. Built using Angular, Node.js, Express.js, and MongoDB, the system provides a fast and scalable platform with secure payment integration via Stripe. Features such as real-time notifications, group management, and detailed expense reports enhance usability, making it suitable for trips, shared living, and group activities.