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Healthcare

Kinetikos Motion Analytics

Kinetikos Motion Analytics leverages wearable sensors and advanced AI to analyse movement patterns, evaluate athletic performance and prevent injuries. Coaches and healthcare professionals receive real‑time analytics, reports and recommendations to optimise training programmes.

Duration
10 weeks
Team Size
6 developers
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Kinetikos Motion Analytics

Project Gallery

Visual showcase of the project’s key features and interfaces

Kinetikos Motion Analytics screenshot 2
Kinetikos Motion Analytics screenshot 3
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Technologies Used

Python TensorFlow React Native Node.js AWS Bluetooth Low Energy

Key Features

Wearable sensor integration
Real‑time motion tracking and analysis
Performance dashboards and reports
Personalised training recommendations
Injury risk assessment tools
Cloud‑based data storage and syncing
Mobile app for athletes
Coach and admin portals

Challenges & Solutions

Challenges

Collecting accurate movement data from wearables
Processing data in real time
Providing user‑friendly visualisations for coaches and athletes
Integrating with various wearable devices

Solutions

Developed high‑precision sensor algorithms and calibration routines
Implemented a real‑time streaming architecture with low latency
Designed interactive dashboards using modern visualisation libraries
Built API integrations for multiple wearable devices and platforms

Project Results

📈

20% reduction in injuries, 30% improvement in athlete performance tracking

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