Emergency Assistant AI

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  colab file

Inspiration

We noticed that people living alone often struggle to get help quickly in emergencies. We wanted to build something that could save lives by connecting them to hospitals automatically, even if they can’t make a call themselves.

What it does

Emergency Assist AI listens for voice commands or detects emergencies, finds the nearest available hospitals, analyzes traffic, and sends out SOS messages—all with minimal effort from the user.

How we built it

We used Python, Google’s Agent Development Kit, and APIs for maps, traffic, and messaging. The agent checks hospital availability, sends location info, and keeps emergency contacts updated.

Challenges we ran into

ntegrating multiple APIs smoothly Handling real-time hospital status Making the system reliable for critical moments

Accomplishments that we're proud of

Automated the whole emergency alert process Built a hands-free, user-friendly agent Achieved quick response times in our tests

What we learned

Real-time data integration is tough but rewarding Accessibility and simplicity are key for emergency tech Collaboration makes complex ideas possible

What's next for Emergency Assistant AI

Add more languages Improve hospital availability checks Integrate with more wearable devices

Built With

• adk
• api
• colab
• maps
• python
• traffic
• twilio