Smart Waste Classification Using MATLAB

Goal: Developed a system using image processing techniques to automatically classify different types of trash (e.g., plastic, metal, paper) to support smart recycling efforts.

What I Did:

Collected and labeled a dataset of waste item images

Applied preprocessing techniques (grayscale, thresholding, noise reduction)

Used feature extraction methods (e.g., shape, texture analysis)

Trained and tested classification models using MATLAB’s Machine Learning Toolbox

Built a basic UI for image input and prediction output

Tools: MATLAB, Image Processing Toolbox, ML Toolbox

Outcome: Created a working prototype that accurately classifies trash items, demonstrating how image recognition can support sustainability and waste management