🌾 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.

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🚀 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.

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🌾 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%

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🌿 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

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🧠 4. Crop Advisory

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

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💬 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

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📊 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

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🌐 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.

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🛠️ Tech Stack

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

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🛠️ Demo Link

Youtube

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📸 UI Preview

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📈 Use Case Diagram

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🧱 System Architecture

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🔑 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

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👥 Meet the Team

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

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📦 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:

• 🔗 Vercel (Frontend)
• 🔗 Firebase (Frontend)

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📌 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.