The future of urban development: AI as a catalyst for sustainable decisions

Purpose and goal:

The project aims to develop and apply AI and machine learning to enhance and automate decision-making in property development. The goal is to create a globally scalable solution through the Hektar platform, which generates optimized 3D models based on user input to support sustainable urban development.

Expected results and effects: - A validated system prototype (TRL 7) operational in a real-world environment. - Increased efficiency in construction and planning processes through AI-driven tools. - At least one scientific article published and disseminated through industry and academic conferences.

- Contributions to the UN’s Agenda 2030 goals, particularly sustainable cities and communities, and responsible consumption and production. - Knowledge sharing and widespread dissemination of project results across stakeholders Approach and implementation:

The project is divided into 5 work packages, including project management, data collection and analysis, AI prototype development, testing and validation, and dissemination of results. Using an iterative approach, data will be collected and analyzed to develop and implement AI-based solutions for property development. The results will be shared through research articles, conferences, and webinars to promote knowledge exchange and increase the adoption of advanced digitalization in the industry