Cognitive Empowerment: Dyslexic Reading and Learning Support System
Namrata Narkhede, Somiya Panikar, Mitali Mohite, Sayali Nikam, Arathi Kamble, Bharti Khemani · 2024
In the current digital era, this research project strives to empower individuals with dyslexia through the development of an innovative software solution that addresses their distinct challenges in handwritten document conversion, language error correction, and language skill enhancement. The proposed system integrates advanced Optical Character Recognition (OCR) technology, natural language processing algorithms, personalized practice sessions, and voice guidance to precisely convert handwritten text, identify and rectify spelling, grammar, and punctuation errors, and provide customized opportunities for language improvement. With a focus on accessibility and user-friendliness, the project bridges the divide between dyslexic individuals and effective communication, learning, and documentation in the digital domain, representing a significant advancement in inclusivity and support for this community. The conversion of handwritten documents to digital text and subsequent correction utilizes a grammatical correction model implemented in Python. The obtained results are thoroughly examined, and the paper discusses the system's future prospects.