https://github.com/kr1shnasomani/wastewise
Waste Classification into biodegradable, non-recyclable, recyclable and reusable.
https://github.com/kr1shnasomani/wastewise
computer-vision deep-learning neural-network waste-classification
Last synced: about 1 year ago
JSON representation
Waste Classification into biodegradable, non-recyclable, recyclable and reusable.
- Host: GitHub
- URL: https://github.com/kr1shnasomani/wastewise
- Owner: kr1shnasomani
- Created: 2025-04-26T23:11:00.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2025-05-08T09:10:44.000Z (about 1 year ago)
- Last Synced: 2025-05-08T09:39:46.118Z (about 1 year ago)
- Topics: computer-vision, deep-learning, neural-network, waste-classification
- Language: Jupyter Notebook
- Homepage:
- Size: 5.31 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
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:
## Model Predicition:
