AI-Based Farming Agent

• 

  prototype of our website

Inspiration

Helping farmers make smarter, sustainable, and profitable decisions using AI-powered daily insights.

What it does

Provides crop diagnosis, irrigation planning, market forecasts, multilingual advice, and sustainability insights.

How we built it

Integrated Gemini + LangChain, YOLO + TensorFlow, Flask/FastAPI, OpenWeather APIs, Agmarknet, and FAO datasets.

Challenges we ran into

Real-time data integration, multilingual accessibility, image quality issues, offline usability, and explainability.

Accomplishments that we're proud of

Built a multilingual, explainable farming agent combining vision, irrigation, and market intelligence in one MVP.

What we learned

Farmers need simple, actionable, explainable insights and AI must adapt to low-resource environments.

What's next for AI-Based Farming Agent

Expand to mobile app with offline mode, IoT/satellite data, financial tools, and global adoption.

Built With

• agmarknetapi
• amazon-web-services
• css
• django
• firebasedb
• geminiapi
• google-translate
• html
• javascript
• langchain
• matplotlib
• mediapipe
• mongodb
• netlify
• numpy
• openaiapi
• opencv
• openweathermapapi
• panda
• python
• restapi
• tensorflow
• yolo