AI_WELLNESS

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  This is our AI wellness Dashboard with some exisiting features to analyze your health,it also inludes smart watch integration

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  This feature read your symptoms and according to the time duration generates homecare-remedies and other advices

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  This trends Features shows average and graph of people's health around you,it represnets overall health of total users on the platform

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  This tracker features tracks your daily routine

Inspiration

In today's fast-paced world, maintaining a balanced lifestyle while keeping track of health symptoms can be overwhelming. We noticed that many people ignore minor symptoms until they become severe, and often lack a holistic view of their wellness. We wanted to build a centralized "companion" that not only helps users understand their immediate symptoms but also fosters long-term healthy habits using AI technology.

What it does

AI Wellness Companion is a comprehensive health platform that acts as your personal health guardian.

• AI Symptom Checker: Users can describe their symptoms to receive instant, verified medical guidance and home care tips (powered by AI).
• Lifestyle Tracker: Logs daily habits like sleep, water intake, steps, and mood to calculate a daily "health score."
• Community Trends: Visualizes anonymous local health trends and seasonal illness patterns, helping users stay informed about outbreaks in their area.
• Unified Dashboard: Provides a clear overview of health metrics and recent activities.
• Emergency Support: Offers quick access to emergency services and nearby hospitals.
• Smart Reminders: Helps users stay on top of medications and hydration.

How we built it

We built the application as a full-stack solution using the MERN stack:

• Frontend: Built with React and Vite for a fast, responsive user interface. We used Tailwind CSS for modern, clean styling and Lucide React for iconography.
• Backend: Powered by Node.js and Express.js to handle API requests and business logic.
• Database: MongoDB stores user profiles, health logs, and symptom history securely.
• Authentication: Implemented secure Google OAuth 2.0 and JWT-based authentication for seamless user login.
• Visualizations: Integrated charting libraries to render health trends and lifestyle data dynamically.

Challenges we ran into

• Integrating AI Logic: Designing a reliable symptom checker that provides helpful guidance without making dangerous medical diagnoses was verified carefully.
• Data Privacy: Ensuring that user health data is handled securely while still allowing for "Community Trends" required careful database design.
• Responsive Design: Making the dashboard and trackers look great on both desktop and mobile devices took significant effort with Tailwind CSS.

Accomplishments that we're proud of

• We successfully integrated a hybrid symptom checker that combines rule-based safety with AI flexibility.
• The Lifestyle Tracker provides a visually appealing way to see daily progress at a glance.
• We built a scalable architecture that can support future hardware integrations (like Google Fit).

What's next for AI Wellness Companion

• Real-time Hardware Integration: Fully syncing with wearable devices like Fitbit and boAt watches via Google Fit API.
• Telemedicine features: Connecting users directly with doctors for consultations if symptoms persist.
• Advanced Forecasts: Using machine learning to predict potential health dips based on historical lifestyle data.

Built With

• express.js
• google-cloud
• javascript
• lucide-react
• mongodb
• node.js
• react
• tailwind-css
• vite