Baggage Buddy

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  Home Screen

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  In flight item tracking

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  Employee Dashboard

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  After you have grabbed all your items

Inspiration

Approximately 90k to 100k items are left at TSA checkpoints yearly. Personally, we have lost many valuable items on flights throughout the years and almost always are those items never recovered. Things like this can also degrade the customer experience of air travel, and implementing ways to prevent these problems can be very beneficial to improving the reputation of an airline.

What it does

Baggage buddy keeps track of all the items you brought with you on your flight and reminds you to grab them on your way out from your flight.

How we built it

Baggage buddy was built using OpenCV and an AI classifier algorithm which is trained on common objects. This data is sent to our Python FastAPI backend which is served to our mobile app.

Challenges we ran into

Getting the AI to correctly classify the objects as we didn't have much data to go off of.

Accomplishments that we're proud of

Finish the Project on time

What we learned

Problems involving the accuracy of classification AI models

What's next for Baggage Buddy

Better automaton and more accurate models We got alot of experience bro :D

Built With

• javascript
• kivy
• next-js
• open-cv
• react
• react-native
• ultralytics