Recycling is essential for environmental sustainability, but many individuals face challenges in correctly sorting their waste due to the complex and often region-specific recycling rules. Incorrect sorting can lead to contamination of recyclable materials, reducing the effectiveness of recycling efforts and increasing landfill waste. A key barrier to better recycling habits is the difficulty in identifying what materials are recyclable and how to properly dispose of them.
Improving recycling practices can significantly reduce landfill waste, conserve natural resources, and lower the energy costs associated with producing new materials. An AI-powered tool that accurately identifies recyclable materials can empower individuals to make informed choices, leading to more effective recycling efforts and greater environmental impact.
Input: The user will capture or upload an image or video of a wastage item.
Output: The system will separate each item as:
Additionally, the application should provide localized information about how to dispose of the item based on regional recycling guidelines.
The model should:
The app should also:
The model must handle diverse image inputs, varying lighting conditions, and different item orientations while maintaining high classification accuracy.