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Geo Waste detection system

Welcome to the Waste Detection App – an innovative solution for identifying and categorizing waste using Flask, Python 3.8, YOLO (You Only Look Once), and TensorFlow. This application empowers users to contribute to environmental sustainability by providing a streamlined and efficient way to distinguish different types of waste, such as plastic and food waste.

Published Paper:

Features:

  • Real-time Detection: Utilizing YOLO and TensorFlow, the app performs real-time waste detection, allowing users to capture or upload images for instant analysis.

  • Waste Categorization: The application classifies detected waste into predefined categories, providing valuable insights into the composition of waste materials.

  • User-Friendly Interface: With a clean and intuitive Flask-based web interface, users can easily interact with the application, making it accessible for a wide range of audiences.

  • Environmental Impact: By identifying and categorizing waste, the app contributes to raising awareness about environmental issues and encourages responsible waste disposal practices.

Requirements:

  • Python 3.8
  • Flask
  • YOLO (You Only Look Once)
  • TensorFlow

[Note]: Here, this repo doesnot contains weights file, hence you wont able to run the project, But, you can request us for the weight of educaction purpose.

Getting Started:

  1. Clone the Repository:

    git clone https://github.com/hmgtech/Geo-Waste.git
    cd geo-waste
  2. Install Dependencies:

    pip install -r requirements.txt

    If you have multiple python version, do select 3.8 before creating environment

  3. Run the Application:

    flask run

Visit http://localhost:5000 in your web browser to access the Geo Waste Detection App.

Screenshots:

Demo:

Geo-wate

Images:

Upload screen

Original screen

Detection screen

Developers

Meet the developers behind this project:

License:

This project is licensed under the terms of the MIT license.

Feel free to explore and enhance the application to suit your needs. Happy waste detection! Read more.

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