AI & Data Science student at NIT Delhi focused on:
- Machine Learning
- Backend Development
- AI Systems
- Time Series Forecasting
AI-powered stock forecasting and educational platform built using:
- FastAPI
- PyTorch
- React
- Supabase
- TypeScript
- Backend integration
- Deployment workflows
- Frontend-backend connectivity
- API testing and debugging
- System integration
π Live Demo: (https://stock-sensei-tau.vercel.app/)
π GitHub Repository: (https://github.com/Mesh-06/stock-sensei)
Python β’ C++ β’ SQL β’ JavaScript
FastAPI β’ Flask β’ React β’ PyTorch β’ Pandas β’ NumPy β’ Matplotlib
Git β’ GitHub β’ Railway β’ Vercel β’ Supabase
- Deep Learning
- Advanced Backend Systems
- System Design
- ML Deployment