Federated Multi-Agent AI System for Smart Urban Traffic, Weather and Emergency Management

A federated multi-agent AI system for smart urban traffic, weather and emergency management.

A federated multi-agent AI system for smart urban traffic, weather and emergency management. This reference project walks through the whole job, from the problem and the design to the build and the evaluation, so that a developer can study how it works, run it and extend it.

It suits learners who want hands-on experience of the whole machine learning workflow: data collection and cleaning, feature engineering, model training and tuning, evaluation and presenting results.

The main parts are privacy-preserving training across several clients, with only model updates shared, cooperating agents with defined roles and tools, data preparation and exploration, model training and comparison of algorithms, and evaluation with standard metrics. The reference build uses LLM APIs, Flower, Python, scikit-learn, and Pandas, with a clear project structure, setup instructions and sample data so that it can be run and extended.