SaveSplash

The Project

SaveSplash is a smart drowning detection and prevention system designed to protect vulnerable swimmers, especially children and the elderly, through artificial intelligence, wearable sensors, and real-time alerts. Built on FlutterFlow and Firebase, the system integrates a Raspberry Pi-based hydrophone that monitors swimmers for signs of danger, such as prolonged immobility or unusual sounds underwater. If danger is detected, it immediately triggers a mobile notification, wearable device vibration, and a local alarm sound to alert nearby people. The app also includes a "swimming tips" feature to add an educational dimension to drowning prevention. The project was inspired by a shocking statistic from the World Health Organization: more than 236,000 people drown each year, often silently and within seconds. I was deeply moved by the frequency with which these tragedies affect children and the elderly, so I wanted to create a solution that would react faster than relying solely on manual observation. One of the biggest challenges was connecting real-time hardware data to a low-code platform. It required building a custom API and syncing sensor inputs with cloud-based alerts, while maintaining user-friendly performance. Despite the technical hurdles, this project taught me how to combine design with life-saving functionality and fueled my vision for a smarter, safer swimming environment.

View this project on YouTube