Augmented Reality-Enhanced Machine Learning for Automated Recycling Detection

Global attention to environmental sustainability has increased recently, demanding for imaginative approaches to encourage recycling practices. This research investigation introduces a unique strategy that uses machine learning (ML) and augmented reality (AR) to assist in recycling easier. Making use of augmented reality (AR) technology, our suggested solution displays labels on items in real-time that reflect their recycling status. Users who utilize this system through a mobile application are guided in accurately identifying objects and are directed to the proper recycling containers and procedures. Our solution integrates AR and ML efficiently to increase user awareness and involvement in recycling behaviors, hence making a positive impact on the environment.