This document summarizes an athlete monitoring system that provides coaches, trainers, and athletes with performance analytics. It collects data on body and mind, training, nutrition, competitions, and tests to calculate readiness scores and identify deviations from norms. Coaches receive daily reports on injuries, soreness, and those at risk. Athletes set goals and receive feedback. The system uses descriptive analytics to highlight trends and predictive models to improve decisions and outcomes.
Collating athlete data is time-consuming for coaches with fragmented information. Metrifit provides a central hub for monitoring athletes across health, training, competition, nutrition and more. It offers intuitive reports and alerts to help coaches optimize performance and reduce injury risks through increased self-awareness for athletes. Predictive analysis identifies trends to empower smarter decisions around training loads.
The document summarizes a tiger team project for an exercise management application. The team includes four members and their project manager. The project overview introduces the Android-based app that uses GPS, Google Maps and SQLite to help users plan exercises by providing consumed calories and time. Technical issues addressed working with GPS and using SQLite for the database. Design considerations covered using Agile and Waterfall methods, the development schedule, and plans to improve the app by adding distance tracking, more maintainable code, a network database, and saving map images.
This document summarizes an athlete monitoring system that provides coaches, trainers, and athletes with performance analytics. It collects data on body and mind, training, nutrition, competitions, and tests to calculate readiness scores and identify deviations from norms. Coaches receive daily reports on injuries, soreness, and those at risk. Athletes set goals and receive feedback. The system uses descriptive analytics to highlight trends and predictive models to improve decisions and outcomes.
Collating athlete data is time-consuming for coaches with fragmented information. Metrifit provides a central hub for monitoring athletes across health, training, competition, nutrition and more. It offers intuitive reports and alerts to help coaches optimize performance and reduce injury risks through increased self-awareness for athletes. Predictive analysis identifies trends to empower smarter decisions around training loads.
The document summarizes a tiger team project for an exercise management application. The team includes four members and their project manager. The project overview introduces the Android-based app that uses GPS, Google Maps and SQLite to help users plan exercises by providing consumed calories and time. Technical issues addressed working with GPS and using SQLite for the database. Design considerations covered using Agile and Waterfall methods, the development schedule, and plans to improve the app by adding distance tracking, more maintainable code, a network database, and saving map images.
This document summarizes an athlete monitoring platform that provides descriptive and predictive analytics to help coaches, athletes, and support staff optimize performance and injury prevention. The platform collects multidimensional data on training, nutrition, well-being, competitions, and tests to calculate metrics like readiness to train. It provides reports, comparisons to norms, and predictive analytics to identify deviations and risks. The goal is to empower evidence-based decisions around peak performance, balancing academics and athletics, and injury prevention.
This document summarizes an athlete monitoring platform that provides descriptive and predictive analytics to help coaches, athletes, and support staff optimize performance and injury prevention. The platform collects multidimensional data on training, nutrition, well-being, competitions, and tests to calculate metrics like readiness to train. It provides reports, comparisons to norms, and predictive analytics to identify deviations and risks. The goal is to empower evidence-based decisions around peak performance, balancing academics and athletics, and injury prevention.