FitFortune

Inspiration

Rising Healthcare Costs: To address escalating expenses and inefficiencies in healthcare.
Personalized Solutions: Tailoring insurance premiums based on individual health profiles to incentivize wellness.
Equitable Healthcare: Creating inclusive models that reward healthy behaviors and mitigate disparities in coverage.

What it does

The system integrates data from wearable devices like Apple Watch, Fitbit, and Garmin to track users' health metrics. It then utilizes machine learning algorithms to analyze this data and predict users' lifestyles. Based on these predictions, the insurance provider adjusts insurance premiums, offering personalized incentives to encourage healthy behaviors. Overall, the sytem promotes wellness, incentivizes preventive care, and helps mitigate rising healthcare costs for both individuals and insurers.

How we built it

We built the app by integrating health data from Apple Watch HealthKit APIs. This data was securely stored and managed using MongoDB Atlas, ensuring scalability and data integrity.

Machine learning played a crucial role in analyzing this health data and predicting users' lifestyle patterns. We developed a custom deep learning model using TensorFlow to train and deploy a Convolutional Neural Network (CNN) for this purpose.

We crafted a responsive and visually appealing user interface using HTML, CSS, and JavaScript.

Combining these technologies and methodologies, we created a comprehensive solution that empowers users to track their health, receive personalized insights and adjusted insurance premiums based on their lifestyle choices.

Challenges we ran into

Security of user data. Managing user consent and HIPAA privacy rules. Designing and training the machine learning model for accurate predictions.

Accomplishments that we're proud of

Integrating HealthKit APIs efficiently and responsively. Ensured user experience remained informed while adhering to relevant regulations and policies.

What we learned

We delved into the intricacies of health insurance policies in the United States, expanding our knowledge to better navigate the complexities of the system. Fast software development lifecycle.

What's next for FitFortune

Integrating Garmin and Fitbit APIs into the system. Speaking with Insurance Providers on possible collaborations to bring this idea to fruition. Tuning the ML model for better prediction.

Built With

• atlas
• css
• express.js
• html
• javascript
• keras
• mongodb
• node.js
• python
• tensorflow