Aman Singh Patel

Live Tracking Web Application

• Developed a real-time location tracking web application using WebSockets and Socket.io to track and display the location of devices connected to the app.
• Built the backend with Node.js, ensuring a seamless, active connection between the client and

      the server for real-time updates.

• Implemented React.js for the frontend, integrating a free map API to visualize location markers on a dynamic map interface.
• Ensured markers were automatically added to the map when devices connected and removed

      when users disconnected, maintaining a live, updated map view.

• Optimized the app for smooth performance across devices, handling multiple simultaneous connections with reliable data transmission.

Bookstore Inventory Management System

• Developed a bookstore management system to streamline inventory management, allowing users to easily maintain and search the stock of books.
• Implemented features for tracking books lent to customers and managing membership records, ensuring eminent monitoring of borrowing activity.
• Designed a user-friendly interface using React to facilitate smooth browsing and interaction with the bookstore’s inventory.
• Utilized MongoDB to store and manage data for books, users, and lending records, ensuring quick access and updates.
• Integrated Express.js and Node.js to build a scalable backend supporting inventory tracking, user management, and borrowing history.
• Enabled search functionality, allowing users to quickly find books based on various criteria like title, author, or genre.

AI-Powered Chrome Extension for Webpage Summarization

• Developed a Chrome extension using Manifest V3, JavaScript, and HTML/CSS to summarize webpage content with a single click.
• Integrated with the Hugging Face Inference API to fetch real-time summaries using NLP models like facebook/bart-large-cnn.
• Designed a user-friendly popup UI to display AI-generated summaries.
• Optimized API usage with asynchronous fetch calls and basic rate-limiting to handle API throttling gracefully.
• Packaged and published the extension for personal use with plans for deployment to the Chrome Web Store