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