Hackathon Llama Impatto Roma

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We aim to help citizens sort their waste correctly, effortlessly, using just a photo.

trAI

Alessiochenn

Giusbeppe

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.

A smart web application that helps users properly sort and recycle items. 

"trAI team on Hackathon Llama Impatto Roma Hackathon"

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