Home
Welcome to the AgriSense iOS Developer Wiki
An intelligent AI-powered agricultural assistant for modern farmers
- Installation Guide - Complete setup instructions for developers
- Quick Start - Get up and running in 5 minutes
- Configuration - Environment setup and API keys
- Project Architecture - Overall system design and patterns
- Code Structure - File organization and module breakdown
- Design Patterns - MVVM, Services, and best practices
- Data Flow - How data moves through the application
- Live AI Assistant - Krishi AI implementation details
- Crop Management - Crop tracking and monitoring system
- Marketplace - E-commerce platform architecture
- Dashboard - Smart dashboard with weather and market prices
- Community - Social features and networking
- Services Architecture - Backend services and APIs
- Firebase Integration - Auth, Firestore, and Storage
- AI & ML Integration - Gemini AI and machine learning
- Security - Security measures and best practices
- Performance - Optimization techniques and benchmarks
- Contributing - How to contribute to the project
- Coding Standards - Style guide and conventions
- Testing Guide - Unit tests, UI tests, and test coverage
- Debugging - Common issues and solutions
- Build & Deployment - CI/CD and release process
- API Reference - Complete API documentation
- Models - Data models and structures
- Services - Service layer documentation
- Utils - Utility functions and helpers
- User Manual - End-user documentation
- Features Overview - Detailed feature descriptions
- Localization - Multi-language support
- FAQ - Frequently asked questions
- Troubleshooting - Common problems and solutions
- Release Notes - Version history and changelog
- Roadmap - Future plans and upcoming features
- Setting up development environment
- Running the project
- Understanding the architecture
- Making your first contribution
AgriSense is a comprehensive iOS application designed to empower farmers with cutting-edge AI technology, real-time market intelligence, and community support. Built with SwiftUI and Firebase, AgriSense combines advanced features into a single, intuitive platform.
- Continuous voice recognition with wake word detection
- Multi-modal intelligence (voice, camera, screen sharing)
- Real-time interruption support
- Multi-language support (English, Hindi, Bengali, Tamil, Telugu)
- Real-time weather integration
- Market price intelligence from government data
- Crop management overview
- Quick actions and analytics
- Detailed crop profiles with growth tracking
- Visual documentation with Cloudinary
- Smart reminders and notifications
- Soil testing integration
- E-commerce platform for agricultural products
- Secure cart and checkout
- Order tracking and history
- Seller features and analytics
- Connect with farmers and experts
- Knowledge sharing platform
- Forums and discussions
- Expert advice and tips
- Frontend: SwiftUI, iOS 16+
- Backend: Firebase (Auth, Firestore, Storage, Functions)
- AI/ML: Google Gemini AI (2.0 Flash Experimental)
-
APIs:
- OpenWeatherMap API
- Government of India data.gov.in API
- Cloudinary for image management
-
Services:
- Enhanced TTS (Text-to-Speech)
- Voice transcription
- Wake word detection
- Real-time audio processing
- 📖 Check the FAQ for common questions
- 🐛 Report bugs in Issues
- 💬 Join discussions in Community
- 📧 Contact: support@agrisense.app
We welcome contributions! See our Contributing Guide for details on:
- Code of conduct
- Development process
- Submitting pull requests
- Coding standards
This project is licensed under the MIT License - see the LICENSE file for details.
If you find AgriSense useful, please consider giving it a star on GitHub!
Made with ❤️ for farmers worldwide