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AgroTech AI

AgroTech AI platform is a comprehensive web-based tool where users can access various machine learning models for making accurate predictions related to agriculture. It offers solutions for crop management, soil health assessment, pest control, and more.


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Why to Open Source

Contributing in open source increases your opportunities to work with different projects and mentors, getting to know various insights and ideas. It is a platform where contributors grow together with a construvtive and a positive attitude. This repository also provides one such platforms where contributers come over and put their ideas and make our website as interactive as much they can!

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GSSoC 24 GirlScript Summer of Code 2024 GirlScript Summer of Code is a three-month-long Open Source Program conducted every summer by GirlScript Foundation. It is an initiative to bring more beginners to Open-Source Software Development.

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📌Table of Contents:

  1. Project Description
  2. TechStack
  3. Screenshots
  4. Video
  5. Code of Conduct
  6. Setting Up on your machine
  7. How to Contribute
  8. Our Contributors
  9. License

Project Description

AgroTech AI platform is a comprehensive web-based tool where users can access various machine learning models for making accurate predictions related to agriculture. It offers solutions for crop management, soil health assessment, pest control, and more.

TechStack

  • React
  • Tailwind
  • python - Flask
  • Node
  • MongoDB
  • Express
  • Machine Learning
  • Deep Learning

⚙️ Getting Started / 📥 Installation

Ready to contribute to this fun project? Here's how to set up your development environment:
Make sure you follow our contributing guidlines:- here

  1. Fork this repository 🍴 and clone it to your local machine:
    git clone https://github.com/manikumarreddyu/AgroTech-AI.git
  2. Install dependencies 🧩:
    npm install
  3. Run the development server ⚡:
    npm run dev
  4. Open your browser at http://localhost:3000 to see the project running! 🌟

Code of Conduct

Please note that this project is released with a Code of Conduct. By participating in this project you agree to abide by its terms.

Are Ready to Contribute?

If you would like to contribute to the project then kindly go through Contributing Guidelines to understand everything from setup to necessary instructions.


Our Contributors ❤️

Thank you for contributing to our repository


License:

This project is licensed under the MIT License. See the LICENSE file for more details.


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