Využití umělé inteligence při optimalizaci odpadového hospodářství ve Smart Cities

The thesis focuses on the intersection of three dynamically developing areas: the concept of smart cities, AI and waste management. The aim is to systematically map and analyse the use of AI in waste management in smart cities, identify the main technologies and factors of successful implementation and, based on a comparison of theoretical foundations with the current legislative and strategic framework of the Czech Republic, formulate recommendations adapted to the conditions of Czech municipalities. The research is qualitative in nature and is based on a systematic literature review prepared according to the PRISMA methodology in combination with a secondary analysis of strategic and legislative documents of the Czech Republic. The results show that AI technologies bring measurable benefits in the area of optimisation of collection and sorting, but at the same time the analysis reveals that successful implementation is conditioned by a number of institutional and socio-economic factors that are only reflected in a fragmented manner in the Czech environment.