Dev Talpada
Full-stack MERN developer turning ideas into apps
PG-Finder 🏠 — from a classroom assignment to a tool people can actually use.
As an academic project, I set out to solve a problem every student and working professional knows too well — the painful, time-consuming search for a decent paying guest (PG) accommodation. Scattered listings, outdated info, and endless scrolling through WhatsApp groups made the process way harder than it needed to be.
So I built PG-Finder — a platform designed to make searching for PGs simple, fast, and frustration-free. From planning the architecture to writing every line of code, this project pushed me to think beyond the classroom and build something with real-world value.
It's still a work in progress, but I'm proud of how far it's come — and excited to keep improving it.
🔗 Check it out live: https://pg-finder-bay.vercel.app/search
1
3
168
Manufacturing meets modern web — built this from scratch. 🏭⚙️
Vortex Engineering Works isn't a real company (yet) — it's a dev portfolio project I built to show what a serious B2B industrial site should look like. Think pressure vessels, heat exchangers, and boiler components... presented like the Fortune 500 clients they're chasing actually expect.
What's under the hood:
⚡ Full multi-page site — Home, About, Products & Services, Projects, Contact
⚡ Smooth dynamic image carousels showcasing products
⚡ Clean services/expertise grid + client showcase section
⚡ Stats & certifications section built for instant trust (ASME, IBR, QMS 9001)
⚡ Built with Next.js — fast, optimized, production-grade image delivery
No cookie-cutter templates. No generic "industrial business" clichés. Just a site designed to make a heavy-engineering company look as sharp as the machines they build.
Screen recording below 👇 — full walkthrough of the build.
🔗 Live site: https://vortex-engineering-works.vercel.app/
(https://vortex-engineering-works.vercel.app/)
2
3
256
Built an AI-powered "Notes" feature for Nexis, my full-stack MERN video platform 🎬
Click "Notes" on any video and here's what happens under the hood: the request hits the server, which checks if notes already exist for that video. If not, it triggers a Gemini API call that first classifies the video — educational or non-educational.
→ Educational videos get structured notes with key points, ready to review.
→ Non-educational videos get a description of the visuals and mood instead.
The generated notes are cached in the database, so every future request for that video is instant — no repeated API calls.
One more step toward making Nexis feel less like a video feed and more like a smart content platform. 🚀
Try it out 👉 https://nexis-7.vercel.app
1
116
PG-finder
3
8