Our inspiration for this year’s HackNY challenge was weather; but more specifically “whether.” We’ve all found ourselves sluggishly waking up to an ambiguous New York sky and an equally ambiguous rationale behind choosing our clothes for the day. What if an app could be utterly mobile, but combine local weather information and scheduled social/professional obligations to curate your daily outfit?
That’s when we knew, we were going to be MO-LO-SO bro!
What it does
Mimic is a mobile application that continually scans local weather and your scheduled commitments to determine what outfit is most suitable for your day. Mimic curates a fashion conscious look for you to imitate with your own wardrobe. Additionally, using machine learning, Mimic analyzes New York Times articles to assess top fashion trends.
How I built it
Challenges I ran into
Using several different APIs, we ran into quite a few compatibility issues. However, this challenge was fun to deal, as we dove deep into each package. Additionally, trying to obtain a HackNY t-shirt proved to be virtually impossible.
Accomplishments that I'm proud of
The fact that it looks good and works ok.
What I learned
Lots about Java, Android, MongoDB, and the various APIs that make the world go round.
What's next for Mimic
Clarifai! Users are able to currently add clothing items to our universal database, but ideally we would love to make the process seamless through camera scanning.