> Currently pursuing B.Tech in AIML
> Passionate about Web Development, AI/ML, and Competitive Programming
> Goal: Build impactful projects and contribute to open-source

Study_Ai is the backend system for an AI-powered study platform designed to support scalable learning applications. This project focuses on server-side development, including API creation, route handling, middleware integration, database models, and controller logic. It is structured to manage authentication, data flow, and backend operations efficiently, making it a strong demonstration of backend architecture and real-world API development practices.

🔗 https://github.com/nihar-ux18/Study_Ai

PRISM-AI is the frontend development part of an AI-powered merge request intelligence platform built to help developers analyze code changes before deployment. The interface is designed to present risk insights such as blast radius, impact analysis, and merge request evaluation in a clear and interactive way. This project highlights frontend design, UI structuring, and user-focused presentation of AI-generated insights in a modern web application environment.

🔗 https://github.com/dipak0000812/PRISM-AI