About the project*: Inspiration I am a Local Community Development graduate from Faraa Camp, Tubas. Tubas is an agricultural region, but farmers lose crops due to diseases and low market prices. I wanted to use my degree to solve a real local problem.
What it does Tubas Community AI helps Tubas farmers:
- Take a photo of a plant/olive tree and detect disease instantly
- Get advice on treatment in Arabic
- Connect farmers directly to buyers to get better prices
How we built it
- AI Model: Image detection model (YOLOv8) for crop diseases, fine-tuned on Nebius GPUs
- Backend: Python + FastAPI hosted on Nebius
- Frontend: Simple mobile-first web app for farmers with low internet
Challenges we ran into
- Limited data for local Palestinian crops
- Farmers in Tubas need Arabic and simple UI, not complex apps
Accomplishments that we're proud of Combining my degree in Local Development with AI to create a real solution for my community in Tubas, not just a student project.
What we learned Real development needs technology that understands local needs. Nebius AI Studio helped train the model fast and cheap.
What's next for Tubas Community AI
- Add more crops (wheat, olives, vegetables)
- Partner with Tubas agricultural cooperatives
- Launch marketplace for farmers
Built With
- fastapl
- nebius
- python
- yolov8
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