LocalVoice

Relative Humidity July

Inspiration

To empower people with data to bring change to their community

What it does

We have created a petition program for communities to express their concerns about local climate influencers and heat stresses. We did this in 3 distinct key parts to leverage the advantages of different technologies. We first start with a detailed sampling of the local climate with the data provided by envirolabs which we apply image processing and statistical analysis to provide key temperature features of the local environment which is done in matlab. We then parse the key outliers with the Google Places API and the Gemini API to retrieve the closest infrastructure to our outliers and identify possible causes for their effects, practical solutions, and return that data formatted as a JSON file. the final step is creating a user-friendly interface to encourage community action. The backend takes the NetCDF file and returns a list of Heat stressors to the environment which can be seen as these coordinates. These coordinates are then parsed by a python script to investigate the Heat stressors. This will return the following Json file. The front end then only interacts with the json file to set up an interface