Inspiration
Every year, thousands of accident victims lose their lives because help does not arrive on time. Many people hesitate to assist, ambulances are delayed, and hospitals are unprepared. This inspired us to create a system that automatically connects victims to help without depending on manual intervention. What it does
RakSha SaaThi detects accidents using smart hardware or allows bystanders to report incidents through the app. It scans victim condition, captures images, shares GPS location, and instantly alerts nearby ambulances, hospitals, police, and family members for faster response.
How we built it
We designed a software platform integrated with IoT concepts, GPS tracking, image capture, and cloud services. The system automatically searches nearby ambulances and hospitals, shares real-time data, and enables coordinated emergency response through a simple user interface.
Challenges we ran into
Key challenges included designing reliable accident detection, reducing false alerts, handling emergency data securely, and coordinating multiple responders in real time while keeping the system simple and fast.
Accomplishments that we're proud of
We successfully built a working software prototype that demonstrates real-time accident reporting, automated alerts, and on-demand ambulance discovery—proving that faster, coordinated emergency care is possible.
What we learned
We learned how critical response time is in emergencies, how technology can bridge gaps in public safety, and how to design systems that prioritize reliability, usability, and social impact.
What's next for RakSha SaaThi
Next, we plan to build and integrate the hardware module, partner with ambulance services and hospitals, improve AI-based health analysis, and scale the platform for real-world deployment.
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