API For Garbage Identifiers With Machine Learning Models

Table of Contents

1. About The Project
   • Built With
2. Getting Started
   • Prerequisites
   • Installation
3. Road Map

Project Home Page

This project is about identify the garbage with 6 categories ewest, metal, plastic, paper, non-recyclable and glass with Supervise machine learning models

Built With

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## Getting Started

Here are the instructions about settings up project in local environment

Prerequisites

• Python3.10

Installation

1. Clone the repo

   git clone [email protected]:kumarsubedi93/garbage-detection.git

2. Create python virtual environment

    python3 -m venv env

3. Activate virtual environment

   source env/bin/activate

4. Install all require packages

    pip install -r requirements.txt

5. Get Machine learning models by following link and place inside ml-models/

   https://www.dropbox.com/s/jxlv29rh8otxrtx/garbage_model_weights.h5?dl=0
   

6. Run project by using below command

    python main.py  
   

7. The project up and running in localhost:9000 port & go to localhost:9000/docs to get API Endpoint.

Roadmap

• Add More data on training models

Contributing

Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.

If you have a suggestion that would make this better, please fork the repo and create a pull request. You can also simply open an issue with the tag "enhancement". Don't forget to give the project a star! Thanks again!

1. Fork the Project
2. Create your Feature Branch (git checkout -b feature/AmazingFeature)
3. Commit your Changes (git commit -m 'Add some AmazingFeature')
4. Push to the Branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

License

Distributed under the MIT License. See LICENSE.txt for more information.