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Green-points is an AI-powered Telegram bot and web application designed to facilitate farmers' work through advanced AI-driven farming, crop, fertilizer, and weather suggestions. The platform collects data from farmers via local administrators (Kebele DA) using the Telegram bot and provides detailed analysis on the web application once they sign in

JavaScript 16.03% HTML 19.09% CSS 29.63% Python 35.24%

green-points's Introduction

README.md:

Green-points

Green-points is an AI-powered Telegram bot and web application designed to facilitate farmers' work through advanced AI-driven farming, crop, fertilizer, and weather suggestions. The platform collects data from farmers via local administrators (Kebele DA) using the Telegram bot and provides detailed analysis on the web application once they sign in.

Features:

  • AI-Powered Farming Recommendations: Receive personalized farming advice based on data collected from each farmer.
  • Crop and Fertilizer Suggestions: Get tailored suggestions for crops and fertilizers to optimize yield.
  • Weather Forecasts: Access accurate weather forecasts to plan farming activities effectively.
  • Data Collection via Telegram Bot: Farmers’ data is collected through a user-friendly Telegram bot used by Kebele DAs.
  • Detailed Analysis on Web App: Sign in to the web application to view comprehensive analyses of the collected data.
  • Community Engagement: Connect with other farmers and share tips and experiences.
  • Educational Resources: Access articles, videos, and guides on sustainable farming practices and advanced agricultural techniques.

Installation:

To run the Green-points application locally, follow these steps:

  1. Clone the repository:
git clone https://github.com/Fitsumhelina/Green-points.git
  1. Navigate to the project directory:
cd Green-points
  1. Install dependencies:
npm install
  1. Start the application:
npm start
  1. Open your web browser and navigate to http://localhost:3000.

Contributing:

Contributions are welcome! Please see the CONTRIBUTING.md file for guidelines.

License:

This project is licensed under the terms of the MIT license. See the LICENSE file for details.

Contact:

For questions or feedback, feel free to reach out to the project maintainer here.


MIT License:

MIT License

Copyright (c) [2024] [fitsum helina]

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.

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