AI-Powered Fitness App

Leverages artificial intelligence (AI) and computer vision to provide users with an interactive and personalized fitness experience.

Use Case
Pose Estimation
Healthcare & Medicine

The Healthcare & Medicine industry faces a significant challenge in providing effective, personalised fitness regimens to diverse populations. Traditional methods often overlook individual health conditions, fitness levels, and personal goals, leading to suboptimal outcomes. The lack of dynamic adjustment in fitness plans, coupled with minimal user engagement, hinders long-term health benefits. This scenario demands a sophisticated, adaptive, and user-centric fitness solution empowered by cutting-edge technology.


In partnership with a client, we developed an innovative AI-Powered Fitness Solution that is the innovative use of Computer Vision technology. Here’s how we integrated and utilised it:

  • Real-Time Posture Analysis and Correction: Using Python with the PyTorch framework, our computer vision system captures live video feeds from users during workouts. The system analyses body movements and provides instant feedback on posture and technique. This ensures exercises are performed safely and effectively, reducing the risk of injury.
  • Performance Tracking and Analysis: The computer vision technology also tracks user performance over time. By analysing movement patterns, the system identifies areas of improvement and adjusts workout plans accordingly.
  • Interactive Workouts: We've designed interactive workout sessions where the computer vision system acts as a personal trainer. It recognizes and responds to user movements, providing encouragement and corrections, making the workouts engaging and effective.
  • Integration with AI for Personalised Regimens: The computer vision data feeds into our AI algorithms, which personalise workout regimens based on individual body mechanics and progress. This leads to highly tailored fitness plans that evolve with the user's fitness journey.

The deployment of AI-Powered Fitness Solution has led to impressive outcomes, including:

  • Boosted User Engagement: A marked increase in regular app usage and workout consistency among users.
  • Tailored Health Improvements: Significant strides in individual health metrics, including weight management, cardiovascular health, and muscle strength.
  • Efficient Health Management: Simplification and automation of workout scheduling, health tracking, and progress reporting.
  • Increased Retention Rates: Higher user retention due to engaging and effective fitness experiences.

Techstacks Used

Technologies and Tools
Computer Vision: Python with PyTorch AI and Machine Learning: TensorFlow, Keras Mobile Application Development: Swift (iOS), Kotlin (Android) Web Application Platform: JavaScript, React Cloud Computing Infrastructure: Amazon Web Services (AWS) Health Data Integration: Secure APIs, HL7 FHIR Standards

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