Team Members

Fatima Ahmed Alnajjar

Team Leader

Ahmed Hossam Abdelwahab

Team Member

Abdelrahman Sherif Marzouk

Team Member

Youssef Ehab Rayad

Team Member

Supervisors

Dr. Mostafa Elgendy

Professor

Eng. Abdulrahman Atef

Teaching Assistant

Abstract

TinyTalk is an AI-powered speech therapy assistant for children, designed to enhance the field of speech-language pathology through real-time speech analysis and personalized exercises. The platform detects and measures speech difficulties such as mispronunciations, stuttering, lisps, and articulation issues and converts these into tangible data points. This allows speech pathologists to track progress accurately and generate comprehensive reports, facilitating communication with parents and enhancing their understanding of their child’s case. Furthermore, the application provides personalized and unique learning paths as well as gamified exercises tailored to each child’s individual needs, which helps motivate children and improve their linguistic abilities.

System Objectives

• Speech Difficulty Detection: Detect mispronunciations, stuttering, lisps, and articulation problems using AI algorithms.

• Quantify Speech Metrics: Convert speech analysis results into quantitative data that can be precisely tracked over time.

• Provide Personalized Learning Paths: Develop individualized learning paths with customized exercises to ensure effective therapy.

• Facilitate Communication Between Parents and Therapists: Generate easy-to-understand, userfriendly reports to foster communication regarding a child’s progress.

System Scope

The support provided within the TinyTalk system focuses on speech therapy, enhanced by advanced analysis and engagement tools designed for children. Accurate detection and measurement of speech problems are top priorities, utilizing AI techniques to monitor speech in real time and respond with personalized interventions. TinyTalk includes integrated gamification exercises tailored to each child’s needs to motivate active participation in therapy.Our project also covers tracking and reporting features. TinyTalk offers a comprehensive system that not only detects but also tracks and monitors each child’s speaking capabilities over time. By embedding realtime speech analysis, customized learning paths, and continuous progress monitoring, TinyTalk empowers therapists and parents alike, making speech therapy more robust, accessible, and enjoyable. In this way, TinyTalk contributes to speech-language pathology by increasing our knowledge and providing new tools that help patients improve their treatment outcomes and enhance their linguistic abilities and quality of life

Documents and Presentations

Proposal

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Technical

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Thesis

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Presentation

Accomplishments

Publications

Competitions

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