A python Flask waste classifier app using pre-trained ResNet-50 fine tuned on the dataset. Original dataset source: https://drive.google.com/drive/folders/1P-0X6wDHyAZunuM8C2mO8wtLUyavrjjF . After training the model save the model and download in the \models dir.
To run open cmd: cd \Directory python app.py
For classification there is plastic, paper, e-waste, metallic, glass, organic. The next steps would be more categories such as nuclear waste and residual waste.
