Authors: Prathibha M, Dr. Manjunath M, Dr. Evangelin Geetha D
Abstract: This study introduces an intelligent waste detection and sorting system driven by artificial intelligence and deep learning models such as YOLO and TensorFlow. It efficiently classifies waste into categories like recyclable, organic, and hazardous using real-time image analysis. A tailored model trained on waste datasets enables accurate recognition across varying environments. Developed with Python and OpenCV, the system also recommends appropriate disposal methods. Its compact design supports integration into smart bins and industrial workflows. The approach promotes automation in waste segregation, offering a sustainable and scalable solution for effective waste management.
DOI: http://doi.org/
