Project Update 14.4.

Work begins on finalizing parts of the project into one cohesive product. Work continues on the website which will be the part that is the most visible to potential customers, and how the project could be marketed better. Our sensor team has successfully sent data from the sensor to our server, and our database has been set up. We still need to figure out how to display the data on the website and how to incorporate our machine learning predictions into the displayed data.

Project update 6.4.

Work continues on the project, we got some new usable data from the city of Turku to train our machine learning algorithms. That data has been pruned and sorted into a usable format. The data was given to us in an Excel sheet, from that we needed to pick out the needed values and then turn it into a json in and sort the measurements by the timestamp.

Flask for the server is in a deployable format and is pretty much ready to go. Work still continues on the visualization of the data in a website format, and machine learning algorithm is getting training from the newly acquired data.

As for sensor deployment, in the current situation we are probably going to deploy the sensor at one of the group members' home to get some usable data from our own sensor, as we can't deploy them to the school.