At NIT Durgapur, I built a Python tool to match students and teachers using an optimized Deferred Acceptance (PCDA) algorithm. It reads preferences from Excel and exports final assignments to text.
I added dynamic min/max quota calculations and custom exception handling to support fair matching and edge cases.
On Findr, I used Next.js and MongoDB for data visualization and flexible dataset filtering, and deployed the application with serverless functions.
On Bookworm, I integrated Google OAuth and Stripe Payments API, and developed REST APIs and server actions for sessions, carts, and transactions. I also built an AI Search Agent with website scraping, event and topic summaries, and a YouTube video summarizer.
