Real-time Waste Type Recognition System for Enhanced Recycling

We are seeking an experienced ai/ml developer to build a real-time waste type recognition system. The primary goal is to accurately identify different waste categories (organic, plastic, paper, metal) to significantly improve recycling efficiency.

The system will utilize object detection technology, specifically leveraging frameworks like YOLOv8 or TensorFlow Lite for optimal performance. The development will involve working with the TrashNet dataset for training and validation.

Key functionalities include:
- Real-time identification of waste types from a camera feed positioned above a trash bin.
- Outputting the identified trash category.
- Potential integration for operating a mechanical separator based on the recognition results.

The ideal freelancer will have a strong background in machine learning, object detection, and practical experience with the specified technologies. The project requires a robust and efficient solution for environmental impact.