GitHub - sidleerling/Deep-Learning-Project---Waste-Image-Classification: This Deep Learning Project involves building, evaluating and comparing the performance of three models (a base CNN, MobileNetV2 and an ensemble model (soft voting)) and the best performing model (predictive accuracy and speed) was deployed using Gradio to build a simple, web-based, waste classifier which classifies waste into Organic and Recyclable

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This Deep Learning Project involves building, evaluating and comparing the performance of three models (a base CNN, MobileNetV2 and an ensemble model (soft voting)) and the best performing model (predictive accuracy and speed) was deployed using Gradio to build a simple, web-based, waste classifier which classifies waste into Organic and Recyclable

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Capstone Project 2 - Waste Image Classification (Siddhant Iyer).ipynb		Capstone Project 2 - Waste Image Classification (Siddhant Iyer).ipynb
LICENSE		LICENSE
Waste Image Classification with CNN and Transfer Learning - Capstone Project 2 (Siddhant Iyer).pptx		Waste Image Classification with CNN and Transfer Learning - Capstone Project 2 (Siddhant Iyer).pptx

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MIT License

Copyright (c) 2025 Siddhant Iyer 

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