A Mozfest Gallery designed to educate people on how your interactions with your devices allow for organisations to obtain data about you, and predict the type of person that you are. Me and 4 others created a Machine Learning Algorithm with individual devices, an Alexa, Phillips Hue, Spotify Sound System and an Arduinio that simulates a Smart Fridge. Through doing this, we use the data from the interactions with these devices to determine their personality type, taking inspiration from the Myers-Briggs Personality Test and having 16 different personalities that people could identify with.
This Repo Includes The Following:
- SimulatedFridge.ino - In the project, to simulate someones decision on food choices, I used an arduino that used Light-Dependent Resistors as a means to identify whether or not an Item Was taken, which will feed back as the users choice of food item. I developed this using C, and used 4 different food items that the user cans select from, which will send the data back to the machine learning algorithm.
- Iot&MeBackground.png - A Flow Diagram Representing the flow of data from users interacting with their devices, and how this data will be used as a means to form a picture of them.
- Our Algorithm.png - A flow diagram providing a summary of how our algorithm works, giving a high-level summary of the interaction between user and the Machine Learning Algorithm