Dyslexi-flex:enhancing Dyslexic Learning using HCI and AI

HARISH M; DARSHAN S; GOPIKA E L; SHREYA JANARADHAN MADIVAL; VAISHNAVI G K

doi:10.36948/ijfmr.2025.v07i06.62431

Dyslexi-flex:enhancing Dyslexic Learning using HCI and AI

Author(s)	Mr. HARISH M, Mr. DARSHAN S, Ms. GOPIKA E L, Ms. SHREYA JANARADHAN MADIVAL, Ms. VAISHNAVI G K
Country	India
Abstract	Dyslexia is a common and often misunderstood disability that causes great challenges in reading, writing, and language processing for millions of students worldwide. Although it is a common problem, mainstream teaching methods very often overlook the cognitive, perceptual, and linguistic needs of dyslexic children and do not help them, which leads to frustration, low self-esteem, and eventually poor school performance. So as to get over these difficulties, Dyslexi-Flex is put forward as a computer-based, adaptive, user-centered learning solution that incorporates Human-Computer Interaction (HCI) principles along with the latest Artificial Intelligence (AI) techniques to provide personalized, interactive, and ever-changing learning support. For the platform is equipped with a wide array of adaptive tools, like text-to-speech (TTS) and speech-to-text (STT) modules, modifiable reading interfaces with changing fonts, contrast, and background themes, and real-time visual and auditory feedback aimed at lessening cognitive load, supporting comprehension, and reducing visual and mental exhaustion. Moreover, to keep learners engaged, Dyslexi-Flex employs gamified activities, interactive questions, and performance tracking dashboards that transform the typical practice into a playful and rewarding experience. The system will harness Machine Learning (ML) and Natural Language Processing (NLP) to keep a watchful eye on user interactions, performance trends, and learning habits in real-time and thus, will be able to dynamically adopt instructional strategies - whether that is decoding subtle words, improving reading fluency, building comprehension, or organizing written ideas. The Dyslexi-Flex system's accuracy is high and ranges from 85% to 95%, this depends however on the user’s reading patterns, speech clarity, and learning tasks. Additionally, continuous model training leads to an eventual increase in accuracy.
Keywords	Front-End (HTML,CSS, JavaScript, Python), Back-End (Flask & Fast API, Firebase).
Field	Engineering
Published In	Volume 7, Issue 6, November-December 2025
Published On	2025-12-05
DOI	https://doi.org/10.36948/ijfmr.2025.v07i06.62431

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Dyslexi-flex:enhancing Dyslexic Learning using HCI and AI

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