SilverCare-AI

Inspiration

Our inspiration came from the challenges many older adults face in managing their daily medications and health routines. We wanted to build a simple and compassionate system that can assist elderly users by providing reminders, explanations, and health tracking in an accessible way.

What it does

SilverCare-AI is a web-based health assistant designed for older adults. It allows users to:

Add and manage medications Receive reminders and track adherence Ask AI for medication explanations and general health questions Log daily health data Monitor alerts and health status over time

How we built it

We built SilverCare-AI using a full-stack approach:

Frontend: HTML, CSS, JavaScript Backend: Python with FastAPI Database: SQLAlchemy with SQLite/MySQL AI Integration: Google Gemini API for natural language responses Other tools: Uvicorn for server deployment and APScheduler for background tasks

Challenges we ran into

We faced several challenges throughout the development process.

First, it was difficult to define a clear project outline at the beginning, as we were still exploring ideas and refining the scope of the system.

Second, communication within the team was sometimes challenging, especially when coordinating different parts of the project and aligning on design decisions.

We also encountered environment setup issues, as different team members were working on different machines and dependencies, which caused inconsistencies during development.

Finally, integrating the frontend and backend was more complex than expected, particularly in ensuring that API requests, data formats, and responses were properly aligned.

Accomplishments that we're proud of

Successfully built a working full-stack AI-powered application Integrated real-time AI explanations into the system Designed a user-friendly interface tailored for elderly users Implemented a complete workflow from data input → AI processing → storage → display

What we learned

How to design and connect a full-stack system How to integrate AI APIs into real-world applications Backend architecture and database design principles Debugging and deploying a real-world project

What's next for SilverCare-AI

Add voice input and speech recognition for easier interaction Improve AI accuracy with structured prompts and datasets Support multiple users with authentication and personalized data Enhance UI/UX for better accessibility Deploy the system online for real-world usage

Built With

• apscheduler
• css
• fastapi
• google-gemini-api
• html
• javascript
• python
• sqlalchemy
• sqlite/mysql
• uvicorn