Smart Waste Management Using CV and ML

Inspiration The need for efficient waste management to reduce pollution and improve urban cleanliness inspired us.

What it does It automates waste classification using computer vision and machine learning for effective disposal.

How we built it We used Python for development, OpenCV for image processing, and ML algorithms for waste classification.

Challenges we ran into Data collection, model accuracy, and optimizing performance for real-time waste detection.

Accomplishments that we're proud of Successful waste detection and classification, along with an efficient prototype deployment.

What we learned Enhanced skills in machine learning, image processing, and solving real-world environmental problems.

What's next for Smart Waste Management Using CV and ML Integration with IoT-enabled smart bins, scalability for urban use, and real-time monitoring dashboards.

Built With

• css3
• cv
• html5
• kaggle
• machine-learning
• python
• webcam