Smart Farmer AI Agent

Inspiration

• The Inspiration for Smart Farmer AI agent came from the real challenges faced by farmers every day.

What it does

• Farmers upload a photo of a crop.
• The Agent identifies possible diseases or nutrient deficiencies.
• It checks local weather forecasts. It suggests irrigation schedules and treatments.

How we built it

1. Crop Disease Detection Agent. 2.Weather Intelligence Agent. 3.Recommendation Agent. 4.Government Scheme Agent 5.Multilingual Communication Agent.

Challenges we ran into

• Crop Diseases Accuracy. *Real time data integration *Local Language Support. *Low Internet Connectivity. *Agent Coordination.

Accomplishments that we're proud of

^ Build a working multi agent AI system for agriculture. ^Added multilingual support to improve accessibility. ^Designed a user friendly interface suitable for non technical usres.

What we learned

AI can solve real problems. Importance of Data Quality. Team Collaboration.

What's next for Smart Farmer AI Agent

Add voice based interaction for illiterate users. Offline functionality for rural areas with weak internet. Expand disease detection to more crops.

Built With

• frontend
• openai
• python
• tensorflow
• weatherapi