AgriSmart - Mobile-Only AI Farming App

নে A comprehensive mobile farming assistant built with React Native and TypeScript, powered by AI for intelligent crop recommendations, disease detection, market prices, and profit analysis.

Features

🤖 AI-Powered Features

• Crop Recommendation: Get AI-suggested crops based on soil and weather conditions
• Disease Detection: Upload leaf images to detect plant diseases automatically
• Pest Detection: Identify pests and get natural control remedies
• Profit & Loss Analysis: Calculate farming profitability with detailed cost breakdown

📊 Market & Data

• Real-time Market Prices: Live crop prices with 7-day trend charts
• Weather Forecast: Current weather and 7-day forecast
• Farming Calendar: Sowing, irrigation, and harvest reminders

🌐 Multilingual Support

• Multi language support
• Voice assistant with bilingual support
• UI and content fully translated

💬 Community

• Community forum for farmers to share tips
• Like, comment, and share functionality
• Real-time discussions

🎤 Voice Assistant

• Speech-to-Text (STT) input
• Text-to-Speech (TTS) output
• AI-powered voice commands
• Floating mic button for quick access

Tech Stack

Mobile App

• Framework: React Native (Expo)
• Language: TypeScript
• Styling: NativeWind (Tailwind CSS)
• Navigation: React Navigation
• State Management: Redux Toolkit
• Voice: @react-native-voice/voice + expo-speech
• Charts: Victory Native
• Image Upload: expo-image-picker
• i18n: i18next + react-i18next

Backend (Reference)

• Flask REST API
• Endpoints: /crop/recommend, /disease/detect, /pest/detect, /market/prices, /finance/analyze, /voice/process, /translate, /weather

Getting Started

Prerequisites

• Node.js (v16 or higher)
• Expo CLI
• iOS Simulator (Mac) or Android Emulator
• Expo Go app (for physical device testing)

Installation

1. Clone the repository

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

2. Install dependencies

npm install

3. Update API configuration Edit src/config/api.ts and update the API_BASE_URL with your Flask backend URL:

export const API_BASE_URL = 'http://your-backend-url:5000';

4. Start the development server

npm start

5. Run on iOS

npm run ios

6. Run on Android

npm run android

Project Structure

agrismart/
├── src/
│   ├── components/         # Reusable UI components
│   │   ├── Button.tsx
│   │   ├── Card.tsx
│   │   ├── Input.tsx
│   │   ├── Loader.tsx
│   │   └── VoiceAssistant.tsx
│   ├── screens/           # App screens
│   │   ├── HomeScreen.tsx
│   │   ├── CropScreen.tsx
│   │   ├── MarketScreen.tsx
│   │   ├── CommunityScreen.tsx
│   │   └── ProfileScreen.tsx
│   ├── navigation/        # Navigation setup
│   │   └── AppNavigator.tsx
│   ├── store/            # Redux store and slices
│   │   ├── store.ts
│   │   ├── slices/
│   │   └── hooks.ts
│   ├── i18n/            # Internationalization
│   │   ├── i18n.ts
│   │   └── locales/
│   ├── services/        # API services
│   │   └── api.ts
│   └── config/         # Configuration
│       └── api.ts
├── App.tsx
├── package.json
├── tsconfig.json
├── tailwind.config.js
└── README.md

Key Features Implementation

Crop Recommendation

Users input soil NPK values, temperature, humidity, pH, and rainfall. The app sends this data to the backend AI which returns suitable crops with Tamil translations.

Disease Detection

Users can capture or upload leaf images. The AI analyzes the image and returns disease name, accuracy percentage, and cure methods.

Profit & Loss Analysis

Farmers input crop details, area, costs, and market prices. The app calculates:

• Estimated yield (kg/acre)
• Total costs
• Expected revenue
• Profit/Loss amount
• Visual charts comparing costs vs revenue

Market Prices

Displays real-time crop prices with interactive charts showing price trends over the last 7 days.

Voice Assistant

Floating microphone button allows users to:

• Ask questions in their preferred language
• Get AI-powered responses
• Receive information via text-to-speech
• Navigate the app hands-free

Development Notes

Backend Integration

Update the API endpoints in src/config/api.ts to connect to your Flask backend. All API calls are handled through src/services/api.ts.

Adding New Features

1. Create screen in src/screens/
2. Add translations in src/i18n/locales/
3. Update navigation in src/navigation/AppNavigator.tsx
4. Add Redux slices in src/store/slices/ if needed

Building for Production

expo build:android
expo build:ios

Contributing

This is a project focused on helping farmers through AI and mobile technology. Contributions are welcome!

License

MIT License

Support

For issues and questions, please open an issue on GitHub or contact the development team.

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Built with ❤️ for farmers