An agentic AI-powered platform that democratizes agricultural knowledge through intelligent assistance, voice input, and SMS support - completely FREE for farmers worldwide.
- 🌾 Overview
- ✨ Features
- 🛠️ Tech Stack
- 🚀 Live Demo
- ⚡ Quick Start
- 🏗️ Architecture
- 📱 Usage
- 🎯 Problem Statement
- 💡 Solution Approach
- 🔮 Future Scope
- 🤝 Contributing
- 👨💻 Author
FarmLink addresses the critical information gap faced by farmers globally, particularly in developing regions. By leveraging cutting-edge agentic AI technology, it provides instant access to expert agricultural knowledge through multiple channels including voice input, text queries, and SMS integration.
- Information Gap: Farmers lack timely access to scientific best practices
- Language Barriers: Limited multilingual agricultural resources
- Accessibility: Low literacy rates and limited internet connectivity
- Cost: Expensive agricultural consultation services
- Coverage: Understaffed traditional extension services
FarmLink uses Retrieval-Augmented Generation (RAG) architecture with agentic AI to deliver:
- Real-time, context-aware agricultural advice
- Multi-modal input (voice, text, SMS)
- 100% FREE service model
- Multilingual support (English/Hindi, expandable)
- Mobile-first responsive design
- Agentic AI System: Context-aware responses using advanced language models
- Knowledge Retrieval: FAISS-powered semantic search through agricultural databases
- Multi-language Support: English and Hindi with expansion capabilities
- Real-time Speech Recognition: Web Speech API integration
- Live Transcription: See your words as you speak
- Voice-to-Text: Perfect for farmers with literacy challenges
- Multi-provider Support: TextLocal, Fast2SMS, Twilio Sandbox
- Smart Routing: Automatic fallback between SMS providers
- Demo Mode: Always-working demonstration capability
- Glass Morphism Design: Modern, accessible interface
- Responsive Design: Mobile-first approach
- Animated Interactions: Smooth, professional user experience
- Progressive Web App: Installable on mobile devices
- Comprehensive Database: Covers crops, fertilizers, pests, diseases
- Government Schemes: PM-KISAN and other farmer benefits
- Best Practices: Scientific agricultural recommendations
- Seasonal Guidance: Timing for sowing, harvesting, and care
- React.js - Modern component-based UI framework
- CSS3 & Custom Properties - Advanced styling with glass morphism
- Web Speech API - Real-time voice recognition
- Lucide React - Beautiful, consistent icons
- Vercel - Global CDN deployment
- FastAPI - High-performance Python web framework
- Pydantic - Data validation and serialization
- CORS Middleware - Cross-origin resource sharing
- Uvicorn - ASGI server for production
- Render.com - Scalable cloud deployment
- Sentence Transformers - Semantic text embeddings
- FAISS - Vector similarity search
- Retrieval-Augmented Generation - Context-aware AI responses
- Multi-provider LLM Integration - Flexible AI model support
- SMS Providers: TextLocal, Fast2SMS, Twilio
- Voice Recognition: Browser-native Web Speech API
- Translation Services: Multi-language support system
Live URL: https://farmlink-omega.vercel.app
Features to Try:
- Ask agricultural questions in natural language
- Test voice input (click microphone icon)
- Try SMS demo with your phone number
- Switch between English/Hindi languages
- Explore quick question suggestions
API URL: https://farmlink-backend-iq4o.onrender.com
Endpoints:
GET /health- System health checkPOST /ask- Submit agricultural questionsGET /free-services- Available service informationPOST /sms/send- SMS integration demo
Node.js 16+
Python 3.8+
Git# Clone the repository
git clone https://github.com/surajsk2003/FARMLINK.git
cd FARMLINK
# Setup Backend
cd agrisage-backend
pip install -r requirements.txt
# Setup Frontend
cd ../agrisage-frontend
npm install# Terminal 1: Start Backend
cd agrisage-backend
python -m uvicorn app.main:app --reload --port 8000
# Terminal 2: Start Frontend
cd agrisage-frontend
npm startAccess Application: http://localhost:3000
# Backend Docker
cd agrisage-backend
docker build -t farmlink-backend .
docker run -p 8000:8000 farmlink-backend
# Frontend builds automatically on VercelFarmLink Architecture (RAG-based)
┌─────────────────┐ ┌──────────────────┐ ┌─────────────────┐
│ Frontend │ │ Backend │ │ AI Services │
│ (React) │ │ (FastAPI) │ │ │
├─────────────────┤ ├──────────────────┤ ├─────────────────┤
│ • Voice Input │◄──►│ • RAG Pipeline │◄──►│ • Vector Search │
│ • Modern UI │ │ • API Endpoints │ │ • LLM Models │
│ • SMS Demo │ │ • CORS Handling │ │ • Knowledge DB │
│ • Responsive │ │ • Multi-language │ │ • Embeddings │
└─────────────────┘ └──────────────────┘ └─────────────────┘
│ │ │
▼ ▼ ▼
┌─────────────────┐ ┌──────────────────┐ ┌─────────────────┐
│ Deployment │ │ Integration │ │ Data Layer │
├─────────────────┤ ├──────────────────┤ ├─────────────────┤
│ • Vercel CDN │ │ • SMS Providers │ │ • FAISS Index │
│ • Render Cloud │ │ • Voice APIs │ │ • Vector Store │
│ • Auto-deploy │ │ • Translation │ │ • Knowledge KB │
└─────────────────┘ └──────────────────┘ └─────────────────┘
FARMLINK/
├── 🌐 agrisage-frontend/ # React frontend application
│ ├── public/ # Static assets (favicon, manifest)
│ ├── src/ # Source code
│ │ ├── App.js # Main application component
│ │ ├── App.css # Glass morphism styling
│ │ └── services/api.js # Backend API integration
│ ├── package.json # Frontend dependencies
│ └── vercel.json # Vercel deployment config
├── 🔧 agrisage-backend/ # FastAPI backend application
│ ├── app/ # Application code
│ │ ├── main.py # FastAPI application entry
│ │ ├── main_simple.py # Lightweight version
│ │ ├── routers/ # API route handlers
│ │ └── services/ # Business logic services
│ ├── Dockerfile # Container configuration
│ ├── requirements.txt # Python dependencies
│ └── railway.json.backup # Deployment configuration
└── 📚 README.md # Project documentation
- Click microphone icon in the question input area
- Allow microphone access when prompted
- Speak your question clearly in English or Hindi
- Watch live transcription appear in real-time
- Click "Stop Recording" when finished
- Submit your question for AI processing
- Type your agricultural question in the text area
- Select language (English/Hindi) from dropdown
- Click "Get FREE Answer" to submit
- View AI response with confidence score and source
- Enter your phone number with country code (+91XXXXXXXXXX)
- Type your question in the main input area
- Click "Send SMS Demo" button
- Receive confirmation of SMS processing status
- Click any suggested question in the sidebar
- Questions auto-populate in the main input
- Submit directly or modify before asking
Each AI response includes:
- ✅ Confidence Score: How certain the AI is about the answer
- 📚 Source Information: Where the knowledge comes from
- 🤖 Model Used: Which AI system provided the response
- ⚡ Processing Time: How quickly the response was generated
- 💰 Cost: Always shows "FREE" for our service
Information Accessibility:
- 570+ million farms worldwide lack access to timely agricultural information
- Traditional extension services reach <30% of farmers in developing countries
- Language barriers prevent access to international best practices
Economic Impact:
- Suboptimal farming practices cause 20-40% yield losses annually
- Information gaps cost farmers billions in potential income
- Lack of government scheme awareness limits benefit utilization
Technology Gap:
- 67% of farmers lack internet access for research
- Limited multilingual agricultural content
- Complex technical information not farmer-friendly
Primary: Small-scale farmers in developing regions Secondary: Agricultural extension workers, rural communities Tertiary: Agricultural students, researchers, policy makers
Retrieval-Augmented Generation (RAG):
- Knowledge Ingestion: Curated agricultural databases from trusted sources
- Vector Indexing: Semantic search capabilities using FAISS
- Query Processing: Multi-language natural language understanding
- Context Retrieval: Relevant information extraction from knowledge base
- Response Generation: AI synthesis of contextual, actionable advice
Multi-Modal Access:
- Voice: Web Speech API for low-literacy accessibility
- Text: Traditional input with multilingual support
- SMS: Offline-capable service for remote areas
Intelligence Features:
- Context Awareness: Understands farming context and regional practices
- Confidence Scoring: Transparent reliability indicators
- Source Attribution: Traceable advice to trusted agricultural sources
- Continuous Learning: Expandable knowledge base architecture
- Image Recognition: Plant disease diagnosis from photos
- Weather Integration: Hyperlocal weather-based recommendations
- Regional Languages: Add 5+ Indian regional languages
- Offline Mode: Progressive Web App with offline capabilities
- Farmer Profiles: Personalized recommendations based on farm data
- IoT Integration: Soil sensors and smart farming devices
- Market Prices: Real-time crop pricing and market intelligence
- Community Platform: Farmer-to-farmer knowledge sharing
- Government Integration: Direct scheme application assistance
- Expert Consultation: Video calls with agricultural experts
- Global Expansion: Support for 20+ languages and regions
- Advanced AI: Specialized models for different crop types
- Blockchain: Transparent supply chain and certification
- Carbon Credits: Sustainable farming practice tracking
- Predictive Analytics: AI-powered yield and risk predictions
- Voice Recognition: Works best in Chrome, Edge, Safari browsers
- SMS Integration: Demo mode only (no actual SMS delivery in free tier)
- Knowledge Base: Limited to general agricultural practices (expanding)
- Languages: Currently supports English and Hindi only
- Offline: Requires internet connection for AI processing
- Browser compatibility improvements for voice features
- Enhanced SMS provider integration with larger free tiers
- Expanded knowledge base with region-specific information
- Progressive Web App features for offline basic functionality
We welcome contributions from the agricultural technology community!
- Agricultural Knowledge: Add region-specific farming practices
- Language Support: Translations and localized content
- UI/UX Improvements: Accessibility and design enhancements
- Technical Features: Voice recognition, SMS integration improvements
- Documentation: Guides, tutorials, and example usage
# Fork the repository
git fork https://github.com/surajsk2003/FARMLINK.git
# Create feature branch
git checkout -b feature/amazing-feature
# Make changes and commit
git commit -m 'Add amazing agricultural feature'
# Push to branch
git push origin feature/amazing-feature
# Open Pull Request- Regional agricultural practices database
- Multi-language translations
- Mobile app development (React Native)
- Advanced AI model fine-tuning
- Government scheme database updates
This project is licensed under the MIT License - see the LICENSE file for details.
Why Open Source?
- Agricultural knowledge should be freely accessible
- Community-driven improvements benefit all farmers
- Transparent AI systems build trust with users
- Collaborative development accelerates innovation
Capital One Launchpad 2025 Hackathon
- Category: Agentic AI Solutions for Agriculture
- Focus: High-impact societal applications of AI technology
- Theme: Democratizing agricultural knowledge through intelligent systems
Suraj Kumar
B.Tech Computer Science
National Institute of Technology Karnataka (NITK), Surathkal
- Portfolio: https://surajsk2003.github.io/Suraj.in/
- LinkedIn: https://www.linkedin.com/in/suraj-singh-96b45220a/
- GitHub: https://github.com/surajsk2003
- Email: surajkumarsksk2000@gmail.com
Passionate about leveraging AI technology for social impact, particularly in agricultural development. Experienced in full-stack development, machine learning, and creating accessible technology solutions for underserved communities.
- Government Agricultural Portals: PM-KISAN, Kisan Call Center resources
- Agricultural Universities: Best practices and research publications
- Extension Services: Field-tested farming recommendations
- Farmer Communities: Real-world insights and feedback
- Vercel: Frontend hosting and global CDN
- Render: Backend deployment and scaling
- Open Source Community: React, FastAPI, and ML libraries
- AI Research: Transformer models and RAG architectures
Special thanks to farmers worldwide who inspired this project through their dedication to feeding the world despite facing information and resource challenges.
Star ⭐ this repo if FarmLink helped you or could help farmers in your community!
🚀 Try FarmLink Live | 📚 Explore Code | 🤝 Contribute
Empowering farmers through intelligent technology - one question at a time.