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WasteWise

The project categorizes waste into biodegradable, non-recyclable, recyclable, and reusable categories using machine learning. It includes data preparation, augmentation, and a convolutional neural network (CNN) model trained on labeled datasets to improve sustainability and waste management.

Execution Guide:

  1. Clone the repository:

    git clone https://github.com/kr1shnasomani/WasteWise.git
    cd WasteWise
    
  2. Download the dependencies:

    pip install -r requirements
    
  3. Run the code and it will create an additional file called garbage_classification_model.keras and garbage_classification_model.tflite (these files store the model)

  4. If you want to integrate the model with the webcame, use the webcam.py file and paste the path of the WasteWise folder with the garbage_classification_model.tflite model present in the model folder

Accuracy & Loss Over Epochs:

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Model Predicition:

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Waste Classification into biodegradable, non-recyclable, recyclable and reusable.

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