Voice Enabled Intelligent E Learning Platform for Visually Impaired Learners

Education must be accessible to all individuals regardless of physical limitations. However, many digital learning systems rely heavily on visual interfaces such as images, text layouts, and graphical navigation. These approaches create challenges for visually impaired learners. This research proposes a Voice‑Enabled Intelligent E‑Learning Platform that integrates speech recognition, text‑to‑speech technology, and artificial intelligence to improve accessibility. Learners can interact with the platform using voice commands, listen to learning materials, and receive AI‑generated explanations for their questions. The system is developed using modern web technologies such as Django, Python, HTML, CSS, and JavaScript. By enabling voice‑based navigation and audio responses, the platform reduces dependence on visual interfaces and external assistive tools. The solution supports independent learning and promotes