Inspiration
With the exponential rise in the population of senior citizens over the past decade, the silver tsunami is reaching Singapore’s shore. There will be an increase in episodes of the elderly falling down unintentionally at home, especially for those living alone. Unfortunately, some elderly do not survive after the fall due to delayed treatment.
What it does
Our model takes advantage of the capabilities of machine learning in order to tackle this problem. The moment the elderly user falls onto the ground, the model detects and recognises this and alerts family members immediately. This allows the elderly to receive medical attention as quickly as possible.
How we built it
Through Google teachable machine
Challenges we ran into
We are not as good at coding
Accomplishments that we're proud of
We managed to submit something
What we learned
Hackathon can be easy
What's next for 65 CVU trio Solution
Continue after we ORD!
Built With
- teachable-machine
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