Inspiration
During freight transportation cargo passes through many countries. A common problem is that illegal items are transported such as drugs and other dangerous goods. Reducing the amount of illegal packages entering countries would make countries more safe.
What it does
Our solution is to use package and shipment data to determine if a shipment or packages could contain potentially illegal or dangerous items. To determine if a package is dangerous or illegal we use use a algorithm that makes a decision based on:
- Packages expected weight and size vs its actual weight and size
- Origin of shipment
- Driver/pilot history
- Cargo vehicle history
How we built it
We used React, and native javascript.
Challenges we ran into
We had lots of issues connecting to the ONE Record API.
Accomplishments that we're proud of
When we hit a wall with the API, we decided to make a similar data model, that we believe would be better than the current data model (its not an exact mirror though).
What we learned
We learned about how to cargo is transported for security and customs. Also about how a package is transported during a shipment and the different processes packages go through.
What's next for AJK CARGO
Our next step is to improve our data model and add real machine learning for calculations and decisions for detecting suspicious item.
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