Rescue Nest

Rescuer Screen
Ipad Perspective

Inspiration

Inspired by the devastating LA Fires, where victims struggled to signal for help, we created Rescue Nest—an autonomous aerial scout that detects survivors in disaster zones. If something like this existed during the LA Fires then many casualties could have been avoided

What it does

Rescue Nest envisions a robotic eye in the sky that rapidly scans disaster zones, pinpointing survivors with precision. Once detected, it instantly signals rescue teams, ensuring help arrives fast when every second matters.

How we built it

We built it using Python and OpenCV for human detection, Flask for a website with a live camera feed, and ESP to send alerts.

Challenges we ran into

We initially struggled to choose between two impactful ideas—a GPS tracker for dogs and the rescue nest. After hours of passionate debate, we chose rescue nest. We ended up squandering a lot of our time that we could of used to enhance our code. Something else we faced was that our teammate forgot his passcode for the ipad in our model. Unfortunately, we had to scrap our original idea because we couldn't use the ipad and we had to settle on using a phone.

Accomplishments that we're proud of

In python with cv2 we made a human detection system and it took lots of effort to build, and the end result was well worth it. Also Manish had used a module to check the distance between a person and the camera we all thought this feature was very useful. Another accomplishment was creating a bluetooth device that is able to detect the nearest device and gives the location and distance.