Inspiration
As a typical teenager, when our team member's sister took so much time to wear clothes that made him think if there any way to help her sister use less time in deciding what to wear, when to wear and when to shop. This was a stepping point to our project ARIA which uses basic AI to suggest clothing to women which women basically take more than a year to decide what to wear by a study by telegraph study
[https://www.telegraph.co.uk/news/uknews/5783991/Women-spend-nearly-one-year-deciding-what-to-wear.html]
What it does
It uses AI and machine learning to suggest dresses to women taking care of their choice of preference, trends in her locality, and trade dresses in our online thrift shops.
How we built it
We started using android studio and visual studio to create the app but due to a lack of knowledge in integrating AI in the app, we just made a demo. Basically, the app can be built in Android Studio, with AI and Machine Learning for the modeling of the dresses.
Challenges we ran into
We had no idea about integrating AI and machine learning into the app. Adding EchoAR was also a challenge. Although we could not add EchoAR due to lack of time and prior experience, we managed to add XML to have a better user experience.
Accomplishments that we're proud of
We created a mobile app in Android studio and for UI/UX we used java and used XML for a better user experience
What we learned
We were a basic mobile developer with little experience in mobile development but learned a lot while creating the app
What's next for Aria
We want to fully integrate AI and machine learning into the app and add our online thrift store to the app
Built With
- android-studio
- echoar
- java
- xml



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