GuardianAI is a real-time health monitoring and emergency response system that leverages wearable devices, AI, and automation to ensure users receive immediate help during emergencies.

Every day, wearable devices collect vast amounts of personal health data, but much of it remains underutilized. GuardianAI transforms this passive data collection into active, life-saving care. By leveraging wearable technology, we ensure that users are protected when they need help the most.

GuardianAI integrates with Garmin smartwatches to monitor users' health and detect emergencies automatically. Here's how it works:

1. Health Monitoring: Garmin smartwatches send health data and alerts to our server.
2. Data Storage: MongoDB securely stores health data for tracking and analysis.
3. AI Detection: An AI model analyzes the data for signs of emergencies.
4. Risk Assessment: A regression model calculates the likelihood of an emergency.
5. Location Tracking: Google Maps Geocoding API identifies the user's precise location.
6. Emergency Summaries: Gemini AI generates clear summaries of the emergency.
7. Automated Alerts: Twilio sends automated calls to caregivers or healthcare providers.
8. Emergency Services: In critical cases, alerts are sent directly to 911.
9. Dashboard: Caregivers and family can monitor health statuses and receive real-time alerts.

GuardianAI was built using the following technologies:

• Wearable Integration: API to collect data from Garmin smartwatches.
• Backend: Node.js for real-time health data management.
• AI Analysis: Trained AI models to detect emergencies accurately.
• Location Tracking: Google Maps Geocoding API for precise location data.
• Automated Alerts: Twilio for emergency voice calls.
• Risk Assessment: Regression model to determine emergency likelihood.
• Database: MongoDB for secure health data storage.

• Battery Efficiency: Optimized smartwatch data handling to improve battery life.
• False Alarms: Enhanced AI accuracy to reduce false positives.
• Privacy Protection: Ensured secure storage of sensitive user data.
• Quick Response: Built a fast, responsive system for emergencies.
• Integration: Seamlessly connected Garmin, MongoDB, AI, and Twilio.

• Combining wearable technology with software solutions.
• Using AI for fast and reliable decision-making.
• The importance of speed and accuracy in emergency systems.
• Balancing automation with human judgment.
• Securely managing sensitive user data.

Our future plans include:

• Adding support for devices like Apple Watch and Fitbit.
• Improving AI to predict emergencies earlier.
• Enabling voice interactions to cancel false alarms.
• Developing a caregiver mobile app.
• Partnering with emergency services for faster response times.

Check out our project on Devpost: GuardianAI on Devpost