Martina Longo@marlo

Thanks to computer vision and AI, the application provides detailed recycling instructions based on image analysis and local recycling guidelines, powered by LLaMA's context-aware. This project addresses the critical challenge of proper waste sorting by providing users with accurate, real-time guidance based on Rome's official recycling guidelines. We used LLaMA language model integration for context-aware processing of recycling guidelines and generation of precise disposal instructions Groq API implementation for enhanced natural language processing and response generation Streamlit-based frontend for an intuitive and responsive user interface Location-based services through Toolhouse API for finding nearby recycling facilities This project demonstrates the practical application of AI technologies in solving real-world environmental challenges while providing a valuable service to the community. Through its innovative approach to waste management, Traish sets a new standard for smart recycling solutions in urban environments.xt-aware capabilities.