Smart Waste Management: AI-based solutions can help develop a more efficient waste collection system tailored to the intrinsic characteristics of the city itself, improving waste separation and reducing waste production. Predictive analysis for optimizing the city’s waste collection service according to its urban layout, and parameterization of the collection methodology to be implemented based on data for both domestic and non-domestic users. Mapping and monitoring of micro-dumps and testing of an interactive control system.

Urban Green Monitoring: AI-based projects could monitor the health of urban green spaces in real-time, identifying situations of water stress or diseases, as well as suggesting more efficient maintenance plans for gardens and public parks, which could reduce costs and improve the city’s appearance. The analysis of environmental data will define strategies to promote green infrastructure as a key element of the urban context, designed to provide specific ecosystem services, improving the quality of life for residents in a more permeable, healthier, and therefore more livable city.