Inspiration
A major inspiration of this project is one of our grandmothers who fell last year and was met on the floor hours after her fall. Fortunately, it was manageable. But what if she was not lucky? This is a reoccuring problem of elderly individuals facing preventable health complications due to late detection, medication mismanagement, and limited access to consistent monitoring. Many existing health solutions are either too complex or not tailored to their specific needs. We were inspired to create a simple, accessible system that uses AI and data to support early prevention, independence, and safer aging.
What it does
Tracks basic health metrics Sends medication and appointment reminders Detects potential health risks using data patterns Sends alerts to caregivers when necessary
How we built it
Frontend: Simple, large-button interface for accessibility Backend: Secure data handling and health tracking system AI component: Basic risk detection using health data patterns Database: Stores user health logs and caregiver notifications
Challenges we ran into
- Designing a system simple enough for the elderly
- Deploying the program
Accomplishments that we're proud of
Creating a clean and accessible user interface Successfully integrating caregiver alerts Designing a prevention-focused AI model Building a structured health data system Turning a real social problem into a working prototype
What we learned
- Communication amongst team members is key
- Simplicity is more powerful than complexity
- AI must be practical, not just impressive 4.User-centered design is essent ## What's next for ElderCare AI
- Improve AI prediction accuracy
- Add wearable device integration
- Conduct user testing with elderly volunteers
- Partner with healthcare providers
- Expand features to support rural communities
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