This automated file organizer, developed using Python, efficiently categorizes and moves files based on their type (audio, video, images, documents, installers, and compressed files). It utilizes scandir for directory scanning and shutil for file operations, ensuring an organized and clutter-free environment.

This app uses the YouTube API for video fetching, features query-based search with a debounced search bar for suggestions, and includes a basic live chat using Redux for state management.

This application, built with Node.js, Express.js, MongoDB, and EJS, features server-side rendering. It employs Mongoose and MongoDB Atlas API for seamless CRUD operations and integrates Cloudinary for optimized image storage and retrieval.

This web chat application, built with the MERN stack, uses WebSocket technology for real-time messaging and file sharing. It employs Mongoose and MongoDB Atlas API to store previous messages, ensuring a seamless user experience.

This chrome extension allows users to replace LinkedIn profile pictures with custom images. It uses the Chrome Extension API for seamless interaction and features a user-friendly interface for managing images.