AgriAid is an AI-powered web application that helps farmers diagnose crop diseases and get treatment recommendations in multiple languages. The application uses Google's Gemini AI to analyze text descriptions, images, and audio recordings of plant issues. Streamlit app: https://agriaid.streamlit.app/

Multilingual Support: Interface available in multiple languages including English, Hindi, Spanish, French, Tamil, Telugu, and Kannada

Multiple Input Methods:

Text descriptions of crop symptoms

Image uploads of affected plants

Audio recordings describing the issues

AI-Powered Analysis: Uses Google's Gemini AI to diagnose plant diseases and provide treatment recommendations

Audio Output: Converts diagnosis results to speech for accessibility

Responsive Design: Works on both desktop and mobile devices

Python 3.8+ Streamlit PIL (Pillow) Google Generative AI gTTS (Google Text-to-Speech) Deep Translator

1. Clone the repository
2. Install dependencies: pip install -r requirements.txt
3. Set up your Gemini API key in Streamlit secrets:

   [secrets]
   GEMINI_API_KEY = "your-api-key-here"
   

4. Run the application: streamlit run app.py

1. Select your preferred language
2. Choose an input method (Text, Image, or Audio)
3. Provide information about your crop issue
4. Click "Diagnose" to get AI-powered analysis
5. View the diagnosis results and listen to the audio explanation if needed

• app.py: Main application file
• utils/: Helper modules
  • gemini_api.py: Functions for interacting with Gemini AI
  • translation.py: Translation utilities
  • translation_loader.py: Loads language translations
  • gemini_audio.py: Audio processing functions

• Diagnosis accuracy depends on input quality
• For critical cases, consult a professional agronomist
• Supported crops include tomatoes, potatoes, wheat, rice, and common vegetables