This week, I improved the weather tags recommendation algorithm, and put together the outfit recommendation algorithm. I altered the weather algorithm and its tags to accommodate a wider variety of clothing, mainly formal clothing, such as suits and dresses, and synchronized it to the format of the database and the user’s input form. We now have an outfit recommendation algorithm that takes in various outputs, and provides the user with the 5 best options for them to pick and choose from based on a weighted point system. It also has an internal system for analyzing what accessories would be appropriate depending on weather conditions.
As we are coming closer to the final presentation and demo, I think we are on track with what we need to be getting done. Next week I will be focusing on putting together our final report, and integrating what remaining parts of our prototype are still waiting to be put together.