03 · 2024
Sign Language Recognition System
A real-time hand gesture recognition system for Devanagari script using MediaPipe and SVM, built to translate sign language into readable text.
ReactFlaskMediaPipeMachine Learning
Open to opportunities · 2026
Full-stack engineer
building real,
working systems.
I'm Pratik Devkota — a MERN stack developer and AI enthusiast focused on building practical applications. From real-time chat systems to sign language recognition, I like working on things that solve real problems and actually run in production.
Based inKathmandu, NepalOpen to remote work
ReactNode.jsExpressMongoDBSocket.ioNext.jspostgreSQLSystem Design
ReactNode.jsExpressMongoDBSocket.ioNext.jspostgreSQLSystem Design
Selected work
Things I've built that I'm proud of.
About
Building things, learning fast, figuring it out as I go.
I’m Pratik Devkota, a Computer Engineering student and full-stack developer based in Nepal. I started with web development and gradually moved into building complete systems — from backend APIs to real-time applications and machine learning projects.
I enjoy working on practical problems. Whether it’s building a chat system, designing an e-commerce backend, or experimenting with computer vision, I focus on making things that actually work, not just look good on paper.
Currently, I’m exploring AI and improving my backend skills while building projects that combine real-world use cases with solid engineering practices.
- Projects
- 6+
- Stack
- MERN
- Focus
- AI + Backend
Stack
Tools I reach for, most days.
Languages
- JavaScript
- TypeScript
- Python
- C++
- SQL
Frontend
- React
- Next.js
- Tailwind CSS
- HTML
- CSS
Backend
- Node.js
- Express.js
- Django
- Flask
Database & Tools
- MongoDB
- MySQL
- Git
- Postman
- Docker