Bless Bin

Our hackathon project focuses on promoting safe and ethical garbage disposal through the use of advanced machine learning technology. We've developed a system that employs a ML model trained on diverse garbage datasets to accurately identify and tag different types of waste.

Use Case: Identify individuals who are littering by detecting and tagging them in real-time. This feature can be integrated with municipal systems to issue fines, thereby encouraging responsible behavior and maintaining cleaner public spaces. By integrating this system into waste management practices, we aim to create a cleaner, more sustainable environment and promote civic responsibility.