Logo
  • Cases & Projects
  • Developers
  • Contact
Sign InSign Up

Here you can add a description about your company or product

© Copyright 2025 Makerkit. All Rights Reserved.

Product
  • Cases & Projects
  • Developers
About
  • Contact
Legal
  • Terms of Service
  • Privacy Policy
  • Cookie Policy
Development of an AI-Driven Speech Therapy Application with Real-Time Feedback
  1. case
  2. Development of an AI-Driven Speech Therapy Application with Real-Time Feedback

Development of an AI-Driven Speech Therapy Application with Real-Time Feedback

gloriumtech.com
Medical
Education
Healthcare

Identified Challenges in Speech Therapy Delivery and Patient Engagement

The organization faces limitations in providing accessible, effective, and engaging speech therapy training. Current methods lack real-time feedback capabilities, are resource-intensive, and do not allow patients to monitor their progress remotely, impacting therapy outcomes and patient motivation.

About the Client

A mid-sized healthcare organization specializing in speech therapy services seeking to enhance patient treatment through innovative digital tools.

Goals for Developing an Advanced Speech Therapy Digital Platform

  • Create a cloud-based application utilizing AI and speech recognition to deliver personalized speech therapy exercises.
  • Enable real-time visual and auditory feedback to enhance patient engagement and progress tracking.
  • Develop a user-friendly, intuitive UI accessible from anywhere, improving patient adherence to therapy routines.
  • Implement performance analysis tools that highlight individual progress and suggest tailored therapy adjustments.
  • Ensure the solution is scalable, secure, and compatible with existing healthcare systems.

Core Functional Specifications for the Speech Therapy Application

  • A modern, intuitive user interface optimized for accessibility across devices.
  • Speech and sound pattern recognition software capable of analyzing speech in real-time.
  • An analysis engine that records and evaluates user performance data.
  • AI-driven recommendations for personalized therapy exercises based on user progress.
  • Visualization tools that display user progress and performance metrics.
  • Secure authentication and data privacy compliance with healthcare standards.
  • Integration capability with existing electronic health records (EHR) systems.

Technology Stack Preferences for Robust and Scalable Application

Java for backend development
Stripe JS (or equivalent) for payment processing if applicable
WebRTC or similar frameworks for real-time audio/video communication
Speech recognition APIs and AI libraries for sound analysis

Essential External System Integrations for Complete Functionality

  • Electronic health records (EHR) systems for patient data synchronization
  • Payment gateways for subscription or session payments
  • Speech recognition and AI analysis tools or services

Critical Performance and Security Criteria

  • Scalability to support a growing user base without performance degradation
  • Real-time processing with minimal latency to ensure effective feedback
  • Data security and compliance with healthcare data privacy regulations (e.g., HIPAA)
  • High availability with 99.9% uptime
  • Responsive UI optimized for various devices and screen sizes

Projected Business Benefits and Effectiveness Metrics

The application aims to deliver accessible and personalized speech therapy training that significantly improves patient outcomes, increasing therapy adherence and engagement. It is expected to enable users to self-monitor progress efficiently, foster motivation through real-time feedback, and reduce in-clinic session burdens, ultimately leading to improved therapy success rates and patient satisfaction.

More from this Company

Advanced Inventory Optimization and Delivery Management System for Healthcare Equipment Providers
Development of a High-Performance Trade Processing and Management Platform for Financial Institutions
Unified Software Development Outsourcing for Accelerated Product Launch
Development of a Data-Driven Infant Nutrition Forecasting and Monitoring Platform
Enhanced High-Resolution Tissue Imaging Software Development for Pathology Diagnostics