KrushiMitra
Agritech stack: RAG farming advice, leaf disease detection, crop recs, and live mandi prices.
PythonPyTorchLangChainFastAPI
Overview
End-to-end platform for farmers: a RAG chatbot for ag Q&A, a CNN for crop disease from leaf photos, scikit-learn crop recommendations from soil/climate features, and scrapers for live mandi prices. FastAPI serves inference; Docker keeps the multi-service setup portable.
Highlights
- RAG chatbot + disease CNN + crop recommender in one product surface
- Live mandi price scrapers (BeautifulSoup + Selenium)
- FastAPI inference, Flask UI, Docker multi-service deploy
Stack
- PyTorch
- Disease detection CNN
- LangChain
- RAG pipeline for the chatbot
- Scikit-learn
- Crop recommendation models
- FastAPI
- Inference endpoints
- Docker
- Multi-service packaging