Inspiration

We wanted to come up with a product we all could actually use after the hackathon. We identified a common problem of wanting to have more control of our fashion, wanting to save time spent picking out outfits, and having quick access anywhere to our full wardrobe, regardless if our clothes are in the laundry pile or hanging in our closet. The ease of use and phone accessibility makes fashion a lot easier and appealing for computer scientists(we spend all our time online already lmao).

What it does

Our app allows users to upload images of hats, tops, pants, and shoes and customize outfits quickly by picking items from each category. You can easily see if you like an outfit or not and save outfits for later. Instead of digging through your closet and laying out all the clothes in 10 seconds you can see your full outfit all next to each other.

How we built it

We used Android Studio and the Kotlin language to build our app. This made it easy to integrate with firebase and emulate the app. At first, two of us focused on design the UI using xml while the other two figured out firebase. Then, we combined our efforts for the final backend implementation.

Challenges we ran into

Most of our difficulties came with figuring out how to use Kotlin. Googling for information mainly resulted in java solutions which weren't helpful for us; so, we really dove deep into the documentation and had to figure it out on our own. Firebase was hard to integrate. Uploading images from the gallery went smoothly, but it took a lot longer to get the camera function running. Making user submitted images into image buttons that would populate on a page you can scroll through was surprisingly hard, especially because those image buttons had to have functions of there own.

Accomplishments that we're proud of

Transversing the hell-scape that is Kotlin and Android development with no prior experience, first time working with cloud based databases, learning xml, making a product we will all actually use that works, learned android development from scratch which was way different than anything we have done before.

What we learned

Basically everything in our accomplishments, but also how to effectively divide tasks as a team to increase efficiency. Everyone always had something they were working on or researching up to the submission deadline.

What's next for Drippy- Digitize Your Closet, Create Outfits Quick

Already very close to a finished project! We want to add the ability to favorite outfits, implement an AI that can recognize summer wear; winter wear; dominant colors; and more so you can filter outfits, streamline our google cloud integration to make it as seamless as possible, spruce up our UI, recommend outfits based on current weather data, and develop an iOS version.

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