The goal of this project is to use open city data to create a state of "human comfort" index for areas in a city. This project will involve developing a predictive model based on urban planning principles, open data and human feedback. Additionally, a standard framework will be developed for the model and data collection protocols for optional usability and privacy.

By the end of the project, students should demonstrate:

- Understanding of urban planning principles and open data sources.

- Ability to develop a predictive model based on urban planning principles, open data and human feedback.

- Ability to develop a standard framework for the model and data collection protocols for optional usability and privacy.

- Ability to test and evaluate the model.

Final deliverables should include:

- All source code.

- A written report explaining the design process and outcomes.

we will provide mentorship for this project in the following ways:

weekly meetings

web infrastructure (google cloud servers + physical servers online)

chatgpt4 keys

support staff and urban planning insight