Recyclable
The Project
Recycle Recognizer is a smart system that uses machine learning to identify whether an object is recyclable or non-recyclable. Using a webcam and a model trained with Teachable Machine, the program detects objects in real time and tells the user if they should be recycled. For example, if you hold up a plastic bottle or a piece of paper, it will let you know whether it's recyclable or not. This project was inspired by a desire to promote environmental awareness and encourage better recycling habits. Many people aren’t sure which items belong in the recycling bin—Recycle Recognizer helps solve that problem by making waste sorting more accessible and educational, especially for kids and beginners. The most challenging part was training the model to be accurate. I had to gather a wide variety of examples for both recyclable and non-recyclable objects to make sure the system could correctly identify different materials. Making the program reliable across different lighting conditions and object positions also required careful testing and adjustments.