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.