End-to-end fitness analytics project using Python, SQL, and Power BI to track workout adherence, muscle group performance, and strength progression through an interactive dashboard.
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Updated
Dec 31, 2025 - Jupyter Notebook
End-to-end fitness analytics project using Python, SQL, and Power BI to track workout adherence, muscle group performance, and strength progression through an interactive dashboard.
VibeOut: An emotion-aware fitness platform that combines ESP32-based heart rate & SpO2 monitoring with AI emotion detection to deliver personalized workouts that adapt to both physical metrics and emotional state, creating a more effective and sustainable fitness experience.
Advanced Fitness Analytics Platform - A learning project showcasing modern .NET microservices architecture with AI-powered workout analysis, multi-protocol communication, and clean architecture patterns. Features Strava integration, HuggingFace/Google Gemini AI analysis, comprehensive health monitoring, and production-ready code quality standards.
Script for visualizing workouts based on file from GPS-watch.
🏋️ Analyze workout data to enhance training consistency, muscle performance, and strength progression with a comprehensive fitness analytics dashboard.
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