We could have hundreds to thousands of photos in our phones. Group pictures, animal pictures, and, most importantly, selfies. Maybe we're looking for a particular selfie that we can't find, or maybe we want to delete them all. Whatever the reason, they can be hard to organize because of all the other photos we have. So here's our solution to this problem.
What it does
Our mobile app sends all the photos on the phone's gallery to our server to check whether or not the pictures are selfies using AWS and neural networks. It then displays all the selfies on the app with a count for the user. The app also gives the user an option to delete some or all of the selfies.
How we built it
Challenges we ran into
We were designing an app that pick All the selfies from your phone's gallery and deleted them to free up space. The important thing is that the app can pick out literally all selfies not just those identified by the cellphone (the cellphone can only identify those taken with front-facing camera).
Accomplishments that we're proud of
We at least finished a few key components to our project, including the face recognition (and selfie recognition), the back-end server, and the web app front-end.
What we learned
None of us had experience in AWS, back-end, or mobile development. During the hackathon, we all had our respective roles and we all spent that time learning about them.
What's next for Selfie Cleanse
Make it work.
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