SafeHaven

SafeHaven is a smart health-safety application designed to protect elderly or high-risk individuals living alone while giving their loved ones peace of mind.

Our inspiration for the project is deeply personal. One of our team members lost their grandmother to heatstroke, a tragedy that could have been avoided with timely intervention. Another team member, with experience working in a hospital, witnessed how many preventable emergency visits result from prolonged negligence. As students studying far from our hometowns, we understand the constant worry that comes from not being with our loved ones, many of whom suffer from chronic health conditions. Together, these experiences shaped our common goal to build an application that allows one to monitor their loved one's health from a distance, noticing warning signs before it's too late. During emergencies such as falls or extreme heat warnings, SafeHaven triggers automated alerts to both caregivers and emergency services for immediate intervention.

We built our backend using FastAPI (Python) with a SQLite database. For the emergency response feature, we integrated Twilio’s API, enabling AI-assisted phone calls to users and their emergency contacts with two-way input (“Press 1 if you’re okay, Press 2 for help”).

Our React Native mobile app connects to Apple HealthKit and Dexcom to collect heart rate, sleep, and blood glucose data, while an ESP32 microcontroller equipped with temperature, humidity, and gas sensors monitors environmental safety. Sensor data is transmitted to the backend via REST API (JSON) for real-time processing and alerts.

Throughout the project, we learned how to integrate IoT systems, health APIs, and automated communication technologies into one cohesive platform. Our main challenges included synchronizing live data across multiple inputs and ensuring timely alerts

Built With

• apple-health-kit
• esp32
• fastapi
• figma
• python
• react-native
• sqlite
• twilio