Cities are rapidly growing with populations, which stress their infrastructures, resources, and the environment. Traditional methods of urban planning generally lack the wherewithal to keep up with the dynamism of changes and complex systems of today's urban setting.
The project is led in the aspects of developing AI models that can run a vast quantity of urban data to come out with insight and forecasts for city planning. This project, at the core of AI, will offer an excellent base for supporting the creation of smart cities that are more efficient, sustainable, and responsive to the needs of their residents.
Week 1-2: Initial Planning and Requirement Analysis
Define the objectives of the project, scope, and high-level requirements
Scoping out Enabling Data and Resources Week 3-4: Design Phase
System architecture design
Design of data flow
Design wireframes and mockups of the user interface Week 5-6: Data gathering and integration
Setting up data sources, development of data processing pipelines
Ensuring data quality and consistency Week 7-8: Development of AI models
Develop Artificial Intelligence models for analyzing urban data to predict trends
Train and validate models on the gathered data Week 9-10: Interface Development
Design a user interface through which the city planner interfaces with the system
Ensure a more user-friendly and accessible interaction Week 11-12: Testing and Refinement Phase
Run comprehensive tests to ensure functionality and usability.
Refine the system according to performance metrics and user feedback.
Compilation and documentation of the final project report
Presentations of student’s final individual reports
