🌾 AgriSense — AI-Powered Agricultural Assistant

Transforming traditional farming through AI-driven insights, real-time weather data, and intelligent crop management — built for Kerala’s agricultural community.
🔗 Live Demo • 📚 Demo Video •

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🚀 Overview

AgriSense is an AI-powered agricultural platform designed to empower farmers with intelligent recommendations, hyperlocal weather insights, and smart crop management.
It supports Malayalam and English, offers real-time AI chat,Plant Diesase detection with solution and provides an integrated dashboard for agricultural officers.

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✨ Key Highlights

🤖 AI Chat Assistant

• Context-aware conversations for personalized farming help
• Real-time communication via Socket.io
• Speech-to-text for hands-free use
• Malayalam and English support

🌿 Plant Disease Detection

• AI vision model to detect and identify plant diseases
• Camera / image upload integration
• Remedies and prevention tips customized for Kerala crops

🌤️ Smart Weather Intelligence

• District-wise weather forecasts across Kerala
• AI-generated agricultural advice based on weather impact
• Seasonal planting and irrigation planning suggestions

🧑‍💼 Officer Dashboard

• Manage and track farmer queries
• Real-time communication with users
• Role-based access and analytics

🗺️ Location Intelligence

• GPS-based recommendations
• Soil health & crop suitability analysis
• Built-in support for all 14 Kerala districts

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🛠️ Tech Stack

Layer	Technology
Frontend	React, TypeScript, TailwindCSS, shadcn/ui
Backend	Node.js, Express.js, Socket.io
Database	MongoDB Atlas
AI & APIs	Hugging Face, Google Gemini 2.0 Flash, OpenWeatherMap
Tools	Vite, Postman, GitHub Actions

⚡ Quick Start

🔧 Prerequisites

• Node.js v18+
• MongoDB Atlas account
• Google Gemini API key
• OpenWeatherMap API key
• Hugging Face API Key

📦 Installation & Setup

Clone the Repository

git clone https://github.com/ArushRastogi47/AgriSense.git
cd AgriSense

Backend Setup

cd backend
npm install
cp .env.example .env
# Add your keys (MONGODB_URI, GEMINI_API_KEY, OPENWEATHER_API_KEY)
npm run dev

Frontend Setup

cd frontend
npm install
cp .env.example .env
# Add your VITE_BACKEND_URL
npm run dev

Access the App

• Frontend → http://localhost:5173
• Backend → http://localhost:3001
• Officer Dashboard → via Shield icon in the navbar

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🌍 Environment Variables

🔹 Backend .env

PORT=3001
MONGODB_URI=your_mongodb_uri
GEMINI_API_KEY=your_gemini_key
OPENWEATHER_API_KEY=your_weather_key
HF_TOKEN=your_Hugging_Face_API_Token

🔹 Frontend .env

VITE_BACKEND_URL=http://localhost:3001

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💬 Core Functionalities

🤖 AI Chat System

• Smart contextual understanding
• Multilingual chat
• Offline fallback response system
• Image-based question support

🌾 Agricultural Intelligence

• Crop management and fertilizer suggestions
• Pest control (organic & IPM)
• Water & soil health analysis

🗣️ Multilingual Experience

• Full Malayalam UI and voice commands
• Region-specific crop insights

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🤝 Contributing

We ❤️ open-source contributions!

Steps

1. Fork this repository

2. Create your feature branch

   git checkout -b feature/new-feature

3. Commit your changes

   git commit -m "Add new feature"

4. Push to your fork and open a PR

Contribution Ideas

• 🌱 Crop modules for new regions
• 🔬 Advanced AI model integration
• 📊 Data visualization dashboards
• 🌐 New languages (Tamil, Hindi, etc.)
• 🎨 UI/UX improvements

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📜 License

This project is licensed under the MIT License — see the LICENSE file for details.

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🙏 Acknowledgments

• Kerala Agricultural University – domain expertise
• Google Gemini AI – for conversational intelligence
• OpenWeatherMap – reliable weather data
• MongoDB Atlas – database hosting
• shadcn/ui – elegant component library

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📞 Contact & Support

• 💼 Connect with Me on LinkedIn:

• 🧑‍💻 GitHub Profile: Arush Rastogi

• 💼 Connect with Abhay on LinkedIn:

• 🧑‍💻 GitHub Profile: Abhay Choudhary

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Built with ❤️ and ☕ by Arush Rastogi & Abhay Choudhary