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Revamp and Scale Mobile Application for Football Training with AI-Powered Trajectory Analysis
  1. case
  2. Revamp and Scale Mobile Application for Football Training with AI-Powered Trajectory Analysis

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Revamp and Scale Mobile Application for Football Training with AI-Powered Trajectory Analysis

dac.digital
Sports

Scalability and Code Maintainability Challenges

Sports Computing experienced challenges with their existing mobile application, which was built by a previous partner. The application lacked scalability to support a growing user base, suffered from unmaintainable and poorly documented code, and lacked a consistent versioning scheme. The client also lacked sufficient internal technical resources to manage and update the application effectively, leading to delays in delivering a revamped version based on a new UI design.

About the Client

Sports Computing develops innovative AI-powered applications leveraging motion tracking and football analytics to enhance training, fitness, and engagement for football enthusiasts globally.

Project Objectives

  • Develop a scalable and robust mobile application for football training with ball trajectory analysis.
  • Revamp the existing application with a new UI design.
  • Improve code quality, maintainability, and documentation.
  • Establish a robust DevOps infrastructure with CI/CD pipelines.
  • Ensure the application can handle a large number of concurrent users.
  • Provide a future-proof architecture for ongoing feature enhancements.

Functional Requirements

  • Ball trajectory tracking and visualization.
  • Performance metrics analysis (e.g., speed, angle, distance).
  • User-friendly interface for recording and reviewing sessions.
  • Cloud-based data storage and synchronization.
  • Integration with device sensors (e.g., accelerometer, gyroscope).
  • User account management and profile customization.

Preferred Technologies

React Native
Azure
Terraform
Python
Computer Vision
AI/ML

Integrations Required

  • Azure cloud services (e.g., storage, compute, database).
  • Potentially third-party analytics platforms.

Key Non-Functional Requirements

  • High Scalability to handle a large number of concurrent users.
  • Performance Optimization for fast data processing and rendering.
  • Secure data storage and transmission.
  • Maintainability and Code Quality.
  • Reliable CI/CD pipelines.
  • Cross-platform compatibility (iOS and Android).

Expected Business Impact

This project will enable Sports Computing to deliver a high-quality, scalable, and maintainable mobile application, leading to increased user engagement, improved customer satisfaction, faster time-to-market for new features, and a stronger competitive position in the sports technology market. The improved code quality and DevOps practices will reduce long-term maintenance costs and risk.

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