Inspiration The growing issue of inefficient waste management and its environmental impact inspired us to develop an AI-powered solution to streamline waste detection, classification, and disposal.
What it does Our system uses Computer Vision (CV) and Machine Learning (ML) to detect, classify, and manage waste effectively, reducing manual intervention and promoting sustainable waste disposal practices.
How we built it We used Python for backend logic, TensorFlow for machine learning models, OpenCV for image processing, and a user-friendly interface for data visualization.
Challenges we ran into Dataset collection and preprocessing.
Training an accurate ML model for waste classification.
Ensuring seamless integration between hardware and software components.
Accomplishments that we're proud of Successfully implemented an AI-based waste detection system with reliable accuracy, contributing towards sustainable waste management practices.
What we learned We gained valuable insights into AI/ML model training, integration with real-world systems, and overcoming technical deployment challenges.
What's next for Smart Waste Management Using CV and ML Scaling the system for industrial-level waste management.
Enhancing accuracy with larger datasets.
Developing a mobile app for real-time waste monitoring.
Built With
- cv
- ml
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