workout-analysis

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.

ARX workout data analysis + a digital strength coach for the ARX adaptive-resistance machine (ARXfit Omni): reads every rep from the machine's local database - no ARX export data needed - and builds and tracks your data-driven training plan. Optional Claude AI coach. Local and private.

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.

Cross-platform Agent Skill and Python CLI for decoding, deduplicating, and reconciling Garmin FIT workout files

Hevy API workout analysis, routine automation, and webhook skill for Hermes Agent

Script for visualizing workouts based on file from GPS-watch.

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.

Import and analyze Peloton workout CSV exports into a normalized SQLite database. Track performance metrics, workout trends, instructor stats, and compare live vs on-demand classes. Python tool with proper timezone handling and no dependencies required.

🏋️ Analyze workout data to enhance training consistency, muscle performance, and strength progression with a comprehensive fitness analytics dashboard.