Projects using Next.js in KharagpurProjects using Next.js in KharagpurI built this because I was annoyed.
I was paying monthly for a study library seat, and I still couldn't reliably tell if a seat would be free when I showed up. No way to check online, no way to book ahead just calling around or walking in and hoping. I figured if this was frustrating me, it was frustrating thousands of students across India who rent library/reading-room seats the same way.
So I built Studoo (https://studoo.aithro.in/)and Padhloo (https://padhloo.aithro.in/)two connected products at Aithro (https://aithro.in/products)-
Padhloo (student side): search study spaces by city/price/amenities, see a live seat map, request a specific seat for 1-12 months, and track your bookings, dues, and payments in one place. It also gamifies actually showing up — QR check-in/out, study streaks, points, badges, a leaderboard — so students stay consistent, not just book-and-forget.
Studoo (owner side): the dashboard library/reading-room owners use to list their space, manage seat inventory and pricing per slot, approve or reject booking requests, chase due payments automatically, and see real analytics (occupancy, revenue, which slots to reprice). Free tier + two paid plans. You can see product demo video here - https://youtu.be/9Yex73MIYqQ?si=jfWqLxisRTM9N_28
I designed and built the full product end-to-end — the booking/approval workflow, the seat-and-slot inventory model, the QR-based geofenced attendance system, the payments/dues tracking, the subscription tiers, and the whole gamification layer (points, streaks, badges) on the student side.
Where it stands:
Got our first paying customer, a real library owner in Patna paying for the Growth plan, which is the moment this stopped being a side project and started being a business.
Reached the Grand Finale of Empresario 2026 (IIT Kharagpur E-Cell), selected out of 3,000+ global registrations.
Won the Platinum Jubilee Innovation Challenge (Deep Tech) at IIT Kharagpur's 75th anniversary event.
What I'm good at, based on building this: turning a messy real-world workflow (owner approves seat → student pays offline → both sides need to trust the same numbers) into a system that's simple enough for a small business owner with no tech background to actually use — while still handling the edge cases (partial payments, overlapping slots, expiring bookings, geofenced check-ins) correctly under the hood.
If you're a small business or founder who needs a web app or an AI-automation workflow built and shipped fast, not just prototyped that's exactly the kind of problem I like solving. Happy to talk about your project. SpeakYield - voice-first agri-commerce platform for Indian farmers
This one came out of a government hackathon problem statement, but the problem itself is real and ugly: a smallholder farmer in Maharashtra selling onions knows yesterday's price at exactly one mandi, usually from the same commission agent who's also buying from them. They can't see the market 40km away, can't see what a processor or exporter would pay, and often sell right after harvest at the seasonal low because they need cash now, not because it's the best time to sell. Every step of that chain - price, buyer trust, quality grading, transport, payment - quietly leaks money out of the farmer's pocket.
I built SpeakYield to close that gap, and built it voice-first because the people this is for often can't or won't use a text-heavy app. A farmer can literally say "I want to sell 12 quintals of onion, I need ₹40,000 right now" in Marathi/Hindi, and the app:
Parses that into a structured request and reads it back for confirmation before anything commits - nothing moves on a guess
Shows every nearby buyer's price as net-in-hand, after transport, commission, and fees - not the misleading headline mandi rate
Recommends sell-now / split / hold based on the farmer's actual cash need, not just a price chart
Ranks competing buyer offers by what the farmer actually banks, weighted by the buyer's payment-reliability history
Runs the full deal lifecycle — offer, logistics, milestone payments, dispute filing — on one transparent, tamper-evident record
What I built: the full stack — Next.js/TypeScript frontend, FastAPI backend, the voice pipeline (speech-to-text → LLM intent parsing with strict schema validation → text-to-speech read-back), the buyer-matching and net-price ranking engine, and the deal/ledger system. Solo project, ~12 commits from architecture to a working two-sided prototype (farmer view + buyer view), with CI, linting, and end-to-end tests.
Stack: Next.js, TypeScript, FastAPI, Python, LLM-based voice intent parsing, PostgreSQL/Redis (production design)
I like this kind of problem specifically because it's not "build a CRUD app" — it's translating a messy, high-stakes, low-trust real-world transaction into software that has to work for someone with a ₹6,000 phone and patchy network, not a power user.
If you need someone who can take a genuinely fuzzy problem (multi-party trust, real-time matching, voice/AI interfaces) and turn it into a working product fast, that's exactly this. This one started from a very ordinary campus problem: every semester, thousands of IIT Kharagpur students either haul stuff home they'll never use again, or buy new when a senior literally has the same thing sitting unused two hostels away. There was no trusted way to buy and sell second-hand on campus, just scattered WhatsApp groups where you can't verify who you're actually dealing with.
I built ThriftKGP to fix that, a campus-only marketplace where every listing is tied to a verified institute identity, so you're never buying from a stranger off the internet, you're buying from another IITKGP student.
Beyond the basic buy/sell flow, I built out four core modules that make it actually usable at scale: request boards (post what you're looking for instead of only browsing what's listed), wishlists, a review system so reputation carries across transactions, and an admin dashboard for oversight. I also automated listing moderation and buyer-request matching with event-driven background jobs, which cut down manual moderation work substantially, important once you're serving 16,000+ potential users and can't manually vet every post.
Stack: React, Node.js, Express, MongoDB, Tailwind CSS
It's since been recognized with a SELF RISE Innovation & Prototype Grant as a campus-wide second-hand marketplace concept.
If you're building a marketplace, community platform, or anything that needs trust and verification baked into peer-to-peer transactions, that's squarely in my wheelhouse. 
