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Project overview
PlaySafe – Injury Prevention
End-to-end Big Data platform that monitors players' GPS and physiological data to predict injury risks (ACWR) in near real-time.
Highlights
- 01High-frequency IoT telemetry ingestion using Apache Kafka
- 02Physiological load calculations (Mechanical, Cardio) via Spark
- 03Injury risk prediction based on the ACWR ratio
- 04PostgreSQL storage for the dashboard and HDFS for archiving
- 05High-performance FastAPI with Real-time React Dashboard
- 06Production pipeline vs. Demo architecture with mocked data generator
Technology stack
KafkaSpark StreamingSpark MLPostgreSQLHDFSFastAPIReactVite
Awards
- 2026
Selected & Presented Project · FootTech Hackathon 2026