KrishiAI is a voice-first mobile application designed to empower Indian farmers with personalized agricultural guidance. Built with accessibility in mind, it prioritizes voice interactions while supporting text-based chat as a secondary interface.

KrishiAI is specifically designed for farmers, with a focus on:

• Simple, intuitive interface
• Minimal technical complexity
• Voice-first interaction
• Support for regional languages
• Offline functionality for core features

• Quick access dashboard
• Important shortcuts
• Weather updates
• Crop calendar
• Recent activities

• Real-time AI conversations
• Powered by OpenAI with farming-specific grounding
• Supports multiple Indian languages including Kannada
• Focused on Karnataka region and rice farming
• Prevents AI hallucination through data grounding

• Text-based interactions
• Advanced image analysis:
  • Crop Disease Detection: Custom ML model with 99% accuracy
  • Pesticide Analysis: OCR-based bottle content analysis
    • pH level detection
    • Usage quantity calculation
    • Target disease/pest identification
• Historical chat records

• User profile management
• Farm details
• Language preferences
• Data synchronization options

Our responses are enriched with data from authoritative sources:

• 📊 Pesticide Database

  • Chemical compositions
  • Usage guidelines
  • Safety protocols

• 📜 Government Resources

  • Current schemes
  • Subsidy information
  • Agricultural policies

• 🌾 Agricultural Research

  • Crop rotation guides
  • Best practices
  • Seasonal recommendations

• Custom model deployment
• Multi-model orchestration
• Decision-making module for query routing
• Load-balanced API endpoints

• Frontend

  • React Native v0.76
  • Expo SDK v52
  • TypeScript
  • Expo Router
  • React Native Paper

• Backend & Storage

  • Supabase
  • Local SQLite for offline capability
  • Secure data encryption

• AI & ML

  • OpenAI integration
  • Custom disease detection model
  • OCR processing
  • Multi-language support

• Node.js (LTS version)
• Expo CLI
• iOS Simulator or Android Emulator
• Expo Go app (for physical device testing)

1. Clone the repository:

git clone https://github.com/yourusername/KrishiAI.git cd KrishiAI

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