Student-consultants will analyze city data sets (normally available through open city portals, etc.) through state-of-the-art Machine Learning and Data Mining technologies, to: identify trends, and/or create predictive models. Their models are used to create solutions for infrastructure sectors (transportation, building, energy, urban water/drainage, etc.) which can be deployed using digitalization in smart cities.

The student will deliver the following:

1. A 10 - 15 page report, explaining their problem statement and objectives, the methods they followed, The model they developed, and Their results;
2. A 10-15 minute presentation
3. The model(s) developed (in form of RapidMiner processes), as well as the pre-processed data they used