Building a Dyslexia Detection Web App with Boosting Algorithm and Flask

The dyslexia detection presents a step-by-step approach to developing a Web App utilizing Boosting algorithms and Flask offering a comprehensive resource for both novice and experienced developers. The abstract encapsulates a dual focus: leveraging advanced Boosting techniques for accurate dyslexia identification and harnessing Flask's versatility for seamless web app deployment. By delving into the intricacies of dyslexia detection and providing practical insights into algorithm implementation, this guide seeks to empower readers to create a sophisticated tool for aiding individuals with dyslexia. The abstract emphasizes a commitment to fostering inclusivity through technology, promoting accessibility, and advancing the field of assistive applications. This web app aims to provide specific instructions for spelling and word analysis to individuals with dyslexia, leveraging machine learning and deep learning techniques to offer multiple feedback options. The app will assist users in inputting text while providing tailored feedback to improve spelling and word recognition skills. Through the utilization of boosting algorithms, the app will enhance its accuracy in detecting dyslexia patterns, thereby offering personalized support to users.