FitTrack Analytics

About the Project

A machine learning platform that analyzes Fitbit health data to provide personalized insights on activity patterns, sleep quality, and health recommendations.

The Challenge

Wearable devices generate vast amounts of health data, but most users don't have the tools to extract meaningful insights or personalized recommendations from this data.

The Solution

FitTrack Analytics uses machine learning algorithms to analyze historical health data, identify patterns, and predict health outcomes. The platform provides visualizations, trend analysis, and actionable recommendations based on individual user patterns.

Impact & Results

• Achieved 87% accuracy in predicting activity patterns and health trends
• Processed and analyzed over 100,000 data points from Fitbit API
• Generated personalized health insights and recommendations
• Demonstrated practical application of ML in healthcare analytics

Technologies & Tools