We were inspired by our own life - every day we wake up and wonder: what am I going to wear today?
This can even be more complicated in certain situations, especially when we're late, tired, or are going on an important date or job interview.
...Enter: QuickStyler!
- Personalized outfit suggestions directly from your wardrobe
- Tags help sort clothes by mood, type of clothing, and colour schemes
- Connections to calendar, weather to get event and temperature-based recommendations
Note: A lot of these features are only implemented in part, given the time constraints
We built it with HTML, JS, CSS, Json and Bootstrap!
Our biggest problem was time. We were too ambitious and we couldn't finish all the desired features, although for a Hackathon this is very much expected :-)
We really strived in the project design part of the Hackathon. We managed to have a strong consensus on what we wanted to develop for the demo and on the idea the app would incorporate in the short term and in the long term. It all came down to using what we learn in classes like UI design and software engineering. We used the team work skills we built for more than 2 years by working on projects together as undergrads!
We are really proud of what we built, given the time we had.
We learned a lot about web programming, especially managing time and work for 4 people with different skillsets. We learned to communicate efficiently during long work hours and in situations of fatigue.
- Graph algorithms to help create smart relationships between pieces of clothing
- Machine learning + data collection refine ad suggestions based on user activity details
- Share clothing recommendations & outfits to your friends and to your feed
- Interact with your connections through a fashion lens
- Follow celebrities & influencers' style choices - buy their outfit in-app through the tap of a finger!
Huge thank you to McWics for organizing the hackathon, we had a blast!
Special thanks to Louis & Uber Eats.