Yash Thakare

An AI-powered platform for interview and career preparation. This full-stack application, built using the MERN stack with React, Node.js, Express, and MongoDB, offers a suite of tools including a resume builder, analyzer, and a job search engine to help users stand out in the job market. It leverages the power of Gemini 1.5 Pro for advanced AI features.

An IoT-powered smart glove that translates sign language gestures into real-time text and speech. Built with Arduino and flex sensors, it uses a Random Forest model to achieve 95% gesture recognition accuracy, reducing latency to under 200ms. The system features a React.js frontend and Express.js backend, delivering seamless communication assistance.

An interactive educational tool to visualize sorting (Bubble, Quick, Merge) and searching (Linear, Binary) algorithms. Features dynamic speed control, user-defined array inputs, and step-by-step execution. Reduced animation rendering time by 30% through optimized DOM updates.

A full-stack URL shortening service with real-time analytics tracking. Shortened URLs by up to 75% and improved page load times by 30% using EJS for server-side rendering. Secured user accounts with JWT authentication and session management.