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🌾 NeuralAgri — Smart Farming, Powered by Deep Intelligence

NeuralAgri is a cutting-edge AI-driven platform designed to empower farmers with intelligent tools and real-time insights. From crop yield prediction to plant disease detection, from personalized advisory to live dashboards — NeuralAgri integrates deep learning, real-time data, and chatbot intelligence to revolutionize agriculture.

⚙️ Built with advanced Deep Learning models and powerful APIs, NeuralAgri supports web and cross-platform app usage for maximum accessibility.

🚀 Features

🏠 1. Home – Smart Introduction

  • A clean, responsive landing page that explains the purpose and value of the platform.
  • Seamless navigation to all intelligent tools.

🌾 2. Crop Yield Prediction

  • Powered by an ANN Deep Learning model
  • Predicts potential yield based on input parameters like soil, weather, and crop type
  • Model Accuracy: 97%

🌿 3. Plant Disease Detection

  • Upload an image of your plant → get instant predictions
  • Based on a CNN model trained on diverse plant datasets
  • Accuracy: 60%
  • ✨ Integrated with Gemini API to give smart suggestions based on predicted class

🧠 4. Crop Advisory

  • Personalized crop suggestions based on soil conditions, region, and farmer input
  • Backed by a high-accuracy ANN model
  • Model Accuracy: 98%

💬 5. ChatPanel – Smart Gemini Chatbot

  • Built with Gemini API
  • Ask anything about crops, diseases, weather, fertilizers, and more
  • Context-aware and tailored to farmer needs

📊 6. Dashboard

An all-in-one smart dashboard with real-time data:

  • 🌍 Geolocation Fetching – Automatically detect user's farm region
  • ☁️ Weather Forecasting – OpenWeatherMap API integration
  • 💧 Soil Moisture & Satellite Data – Via Google Earth Engine APIs
  • 📈 Daily Data Tracking – Stay updated with actionable data

🌐 Cross-Platform Ready

Designed with a highly responsive UI and deployed on both web and mobile, NeuralAgri ensures that technology reaches every farmer’s hand — no matter the device.

🛠️ Tech Stack

Frontend Backend AI/ML APIs Deployment
React.js Flask TensorFlow, PyTorch Gemini API, OpenWeather API, Google Earth Engine Vercel, Firebase

🛠️ Demo Link

Youtube

📸 UI Preview

📈 Use Case Diagram

Use Case Daigram

🧱 System Architecture

Architecture

🔑 API Credits

  • 🌤️ OpenWeatherMap API – Real-time weather forecasts
  • 🌍 Google Earth Engine API – Soil & environmental data
  • 🤖 Gemini API – Conversational intelligence & suggestions
  • 🧠 TensorFlow & PyTorch – Powering core ANN/CNN models

👥 Meet the Team

Name GitHub Profile
Anshul Patel GitHub
Jainil Patel GitHub
Raj Mistry GitHub
Chaitya Shah GitHub

📦 Installation & Setup

🖥️ Web (Local Setup)

# Frontend
cd Frontend
npm install
npm run dev

# Backend
cd server
pip install -r requirements.txt
python server.py

📤 Deployment

Deployed on:

📌 Future Scope

  • 🌱 Integration with Government Farming Schemes
    Bringing policy-driven decisions directly into the platform.

  • 🤝 Regional Language Support
    Making NeuralAgri more accessible to farmers across different states.

  • 🛰️ Real-time Satellite Monitoring
    Integrate more layers from remote sensing data for disease and growth tracking.