I built an AI-powered chatbot using LangChain.js and LLM models to make my GitHub profile interactive, allowing visitors to explore my repositories, tech stack, and project highlights through natural conversations. The backend leverages the GitHub API, FAISS vector store, and Express.js, while the frontend integrates seamlessly into my React.js portfolio. This project enhances engagement and showcases my expertise in full-stack development and AI-powered applications.

WhatsApp Chat Parser CLI is a simple command-line tool that converts WhatsApp chat exports into a clean JSON format while preserving message order, handling multi-line messages, and supporting media indicators. It offers a user-friendly CLI with options for formatted output, custom file naming, and easy installation via npm. Built with Node.js and Commander.js, this tool simplifies WhatsApp chat data analysis.

Developed an online proctoring system, Proctorise, utilizing TensorFlow to maintain test integrity. Implemented algorithm for multiple people detection to ensure only authorized test-takers are present during exams. Integrated attentiveness monitoring with TensorFlow Movenet to track user eye movements and maintain focus during exams. Employed facial verification using facial recognition technology at intervals to prevent impersonation attempts.

Designed and implemented a robust REST API for an online store using Node.js and Express.js, leveraging the scalability and flexibility of MongoDB Atlas for efficient data storage and management. Integrated advanced query-based search functionalities within the Express.js application to optimize product retrieval and enhance user experience. Developed a responsive and intuitive frontend interface using React.js, ensuring seamless interaction and usability for customers browsing the store.

Developed a task manager API for a to-do list website using Node.js, Express.js, and MongoDB Atlas. Implemented REST API architecture to enable CRUD operations (Create, Read, Update, Delete) for managing tasks. Designed endpoints for adding, retrieving, updating, and deleting tasks, ensuring seamless interaction with the database. Integrated React.js for developing a responsive frontend interface, enhancing user interaction and usability.

Developed an Online Radio application for Android using Flutter. Implemented voice-controlled functionalities to enhance user interaction. Supported voice commands such as 'play,' 'stop,' 'next,' 'previous,' and more for seamless navigation.

Developed using Flutter, this cross-platform application recreates the popular word-guessing game, Wordle. It offers engaging gameplay where players attempt to guess a hidden five-letter word within a limited number of attempts.

A flutter app developed for creating a list for ‘movies to watch’ , & a list for ‘movies watched’. The user can save the name, director, year & poster of the movie.

The Ecommerce Catalog UI is a Flutter-based hybrid application that provides a sleek and user-friendly interface for online shopping. This application allows users to browse through various products, select items, and add them to their cart, simulating the functionality of an ecommerce platform.

The Solar System UI is a visually engaging Flutter project that simulates the solar system's layout and dynamics. This project serves as a testament to the versatility and power of Flutter for creating sophisticated and responsive user interfaces. The UI showcases the planets and their orbits in an aesthetically pleasing manner, providing an educational and interactive experience for users.

MemeShare is an Android application developed using Kotlin that allows users to view and share memes. The application fetches random memes from the internet and displays them to the user, providing a seamless and engaging experience. Uses the Volley library to send a GET request to the Meme API and retrieve meme data in JSON format. Utilizes the Glide library to load and display memes efficiently, with built-in error handling and progress indication.