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AgriTech is an AI-powered web platform that offers crop recommendations, yield prediction, disease detection, and collaborative tools to empower farmers and promote smart, sustainable agriculture.

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🌾 AgriTech Web Application

AgriTech is an innovative web platform designed to empower farmers and agricultural communities with AI-powered tools, real-time insights, and interactive collaboration features.


🖼️ Preview

AgriTech Dashboard


🌟 Features

  • Crop Recommendation
    Get suggestions for the best crops to cultivate based on soil and weather conditions.

  • Yield Prediction
    Predict expected yields using advanced AI models tailored to different crop types.

  • Disease Prediction
    Early detection of plant diseases along with treatment and preventive measures.

  • Farmer Connection
    Connect with fellow farmers to share experiences, resources, and advice.

  • Shopkeeper Listings
    Discover local agricultural product and service providers.

  • Community Chat
    Collaborate and discuss challenges, share solutions, and keep up with the latest in agriculture.

  • Plantation Guidance
    Access helpful plantation techniques and strategies for better crop growth.

  • Crop Planning
    Plan your season with confidence and unlock your farm's true potential for a more profitable and sustainable future.


🚀 Technologies Used

  • Frontend: HTML, CSS, JavaScript
  • Backend: Flask / Node.js
  • AI/ML Models: For prediction modules (Crop, Yield, Disease)
  • Database: MySQL / MongoDB
  • Hosting: Localhost (127.0.0.1), with option for cloud deployment

👥 Team Members & Roles


🌐 Future Scope

  • ☁️ Cloud deployment (e.g., Vercel, Heroku)
  • 📱 Mobile app integration
  • 🌦️ Real-time weather API
  • 🤖 AI chatbot for agriculture support
  • 🗣️ Support for regional languages

About

AgriTech is an AI-powered web platform that offers crop recommendations, yield prediction, disease detection, and collaborative tools to empower farmers and promote smart, sustainable agriculture.

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  • Jupyter Notebook 82.4%
  • HTML 7.2%
  • CSS 5.4%
  • JavaScript 3.2%
  • Python 1.8%