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Project Thumbnail.
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QR Scanning of Trolley.
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Expiration Priority List.
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Productivity Estimation Assembly Process Flow
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Productivity Estimation Dashboard.
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Consumption Logging
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Initial user interface from consumption prediction.
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Results formatted in tables, as output from consumption prediction.
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Results formatted in tables, as output from consumption prediction pt. 2
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Insights from consumption prediction.
Inspiration
We are inspired by engineering projects that help humanity be more sustainable; because of that, our motivation is to help reduce the carbon footprint by using less fuel to power the planes through better and optimized resource planning.
What it does
Onboard Intelligence has three main tools:
- A tool that manages the expiration date of distinct products in stock, avoiding leaks of expired products.
- An AI model that predicts product consumption on flights.
- An IoT solution that measures trolley drawer assembly to help teams better organize their time when doing that.
How we built it
Our tech stack consists of:
- Python with libraries like LightGBM, Scikit Learn, pandas.
- Javascript with Vue JS.
Challenges we ran into
Understanding the distinct processes of a worldwide business might be one of the hardest things to do when time is limited. We didn't have that knowledge beforehand, but we tried our best to create an overview of the process. Every one of our team members focused on one pillar of the problem, and in the end we had an idea of how it works.
Accomplishments that we're proud of
We are happy that we have:
- Came up with solutions for all three dimensions of the challenge.
- Distributed the work in a different way than we were used to.
What we learned
We learned that the impact of a software project can go far beyond from businesses and optimizing processes; it can help the world in a direct way by helping reduce the overall carbon footprint an organization leaves and taking care of the health of others by having rigorous and accurate systems that won´t let expired products to arrive to any client.
What's next for Onboard Intelligence
We plan to monitor the activity and utilization of each feature to determine its benefit to the customers, and we look forward to acting on those findings.
Built With
- javascript
- jupyter
- lightgbm
- python
- vue

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