AI Fall Risk Prediction Software for Senior Living Communities                                

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# Passive sensor monitoring detecting subtle mobility changes that precede falls  
— Senior Living & Long-Term Care

**Solving:** Resident falls occurring with no advance warning from gait or mobility changes

## Machine Learning Architecture

Passive sensor monitoring detecting subtle mobility changes that precede falls

Python, TensorFlow, AWS IoT

## Validated Business Impact

Reduces resident fall incidents by 26.5%

## Technical FAQ

### How does JSRRB Technologies solve resident falls occurring with no advance warning from gait or mobility changes?

We deploy passive sensor monitoring detecting subtle mobility changes that precede falls. Typical result: reduces resident fall incidents by 26.5%.

### What technology and security model powers this Senior Living solution?

The solution is engineered on Python, TensorFlow, AWS IoT, deployed under JSRRB's zero-trust architecture so your proprietary Senior Living systems and data stay encrypted and are never exposed to public AI training models.

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