Our advanced waste classification model is currently being trained on a comprehensive dataset to provide accurate real-time waste sorting capabilities.
The model is being trained to recognize various types of waste including plastics, metals, glass, paper, organic waste, e-waste, and hazardous materials with sub-category classification for improved recycling accuracy.