Augmented Outfit Forecast

• 

  Design

• 

  Front-End

Inspiration

Our inspiration for this proeject was to create a dynamic application that implemeneted augmented reality, but could also be a progressive web application.

What it does

Our application is supposed to ask for user location services on load, get the weather for their surrounding area using dark-sky's api, and assign them a level in our algorithm. Based on the user's "level", which is dependent on the temperature, they would be assigned a category of clothes from our Clothing Class. Afterwards, an internal application will launch and display an augmented reality view of the suggested clothes.

How we built it

The frameworks we used for this application was Ionic, Atom, & Github. The programming languages we used was html/css, javascript, C#, unity, AR development kits, and unity's game engine.

Challenges we ran into

Challenges we ran into was integration. While we have proof-of-concept from our Algorithm, a working Augmented Display of suggested clothes, Datasets from API requests, andtegrat a front-end, we were unable to integrate them all i the allotted time.

Accomplishments that we're proud of

We're proud that we set a high bar for our group and what we accomplished. While we did run into producing a finished product, we learned a lot of valuable skills that will shape the tech industry, or are already at the forefront of it.

What we learned

What's next for Augmented Outfit Forecast

We will research the best way to integrate this application and publish the source code that will be a finished product.

Built With

• c#
• dark-sky
• html/css
• javascript
• unity