AeroCheck

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  AeroCheck Backend

• 

  aerocheck.space

• 

  AeroCheck App

• 

  Rewards System

• 

  Mask Rec

Inspiration

Due to COVID panic and restrictions, airline sales are down, flight attendant stress is high - even for their own safety, and the public seems to need an incentive to fly. That's where AeroCheck comes in...

What it does

Our software utilizes machine learning algorithms to implement facial recognition and mask detection. When a face is detected with without a mask on the aircraft, our software will notify nearby flight attendants, while incentivizing customers who wear their mask throughout the flight.

How we built it

• We built the mask recognition model with Python, Keras, and Tensorflow
• The app was built the Flutter on Android Studio using a VM Google Pixel C
• The website was created with BootStrap Studio hosted on Cloudflare

Challenges we ran into

We learned new technologies

• Flutter, Android Studio, Keras and Tensorflow were all new for some us
• We needed an X-factor: the rewards system: not only does AeroCheck promote healthy travel with ease, but it also gives customers the extra push to come fly again by earning points! and who doesn't like points

Accomplishments that we're proud of

What aren't we proud of ?!

• Formed an American Airlines system for good: from cabin cameras to customer rewards
• Developed a proficient live mask recognition model
• Created a working android app connected to AWS Amplify
• Hosted a website showcasing our product and system

What we learned

We learned that if you work with dedication & as a team you can create great things ...also we learned first-hackathon hackers aren't so bad

What's next for AeroCheck

There's still so much still ahead!

• Hosting the mask recognition model on AWS and feed data to the AeroCheck app
• Post-flight ability to approve and send points straight into customer AA accounts
• Mask recognition at night...?

Built With

• amazon-web-services
• android
• flutter
• keras
• tensorflor