This Case Shows Specific Expertise. Find the Companies with the Skills Your Project Demands!

You're viewing one of tens of thousands of real cases compiled on Many.dev. Each case demonstrates specific, tangible expertise.

But how do you find the company that possesses the exact skills and experience needed for your project? Forget generic filters!

Our unique AI system allows you to describe your project in your own words and instantly get a list of companies that have already successfully applied that precise expertise in similar projects.

Create a free account to unlock powerful AI-powered search and connect with companies whose expertise directly matches your project's requirements.

Development of AI-Powered Posture Diagnosis and Personalized Movement Plan Mobile Application

sparkbit.pl

Health & Fitness

Medical

Information technology

Challenge: High Prevalence of Postural Disorders and Limitations of Traditional Assessment

Postural disorders affect a significant portion of the population, with a 60%+ prevalence among healthy adults. Traditional postural assessments are often limited by the availability of qualified physiotherapists and the constraints of in-office appointments. The need exists for a scalable, accessible, and automated solution for posture diagnosis and personalized movement guidance.

About the Client

A New York-based healthtech startup focused on providing professional, automated movement assistance through a mobile application, leveraging AI and expert knowledge.

Objectives: Develop a comprehensive AI-driven solution for posture analysis and personalized exercise recommendations.

Develop a mobile application for body scanning and posture analysis.
Implement a machine learning system capable of detecting over 20 musculoskeletal disorders.
Create personalized movement plans based on posture analysis results.
Enable continuous therapy adjustments through periodic scans.
Integrate mathematical algorithms with deep learning models for enhanced accuracy.

Functional Requirements: Core App Features

3D body scanning and digital twin creation.
Automated posture analysis and diagnosis of musculoskeletal disorders.
Personalized exercise plan generation.
Progress tracking and visualization.
Periodic re-scanning for therapy adjustments.
User profile management.

Preferred Technologies

Deep Learning

Computer Vision

3D Scanning Technology

Mathematical Algorithms

Mobile App Development (iOS & Android)

Cloud Computing Platform (AWS, Azure, or GCP)

Required Integrations

Potential integration with existing electronic health records (EHR) systems (future phase)
API for data export and integration with other health and fitness platforms

Non-Functional Requirements

Scalability to handle a large user base.
High accuracy in posture diagnosis.
Data security and privacy compliance (HIPAA if applicable).
Performance and responsiveness of the application.
Reliability and stability of the ML models.

Expected Business Impact

This project is expected to revolutionize the accessibility and effectiveness of postural care, expanding the market beyond traditional physiotherapy appointments. It will enable the company to reach a broader audience, including athletes and individuals seeking preventative movement optimization. The patented algorithms and comprehensive solution will provide a significant competitive advantage and open opportunities for FDA approval and market expansion.