Campus Ideaz

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#assistivetechnology (1)

Accessible Learning Hub for Differently-Abled Students

Real-World Problem

Education is a basic right, yet e-learning platforms are not fully inclusive. Visually impaired students struggle with text-heavy content, and hearing-impaired learners face difficulties with audio and video materials lacking accessibility tools. These gaps prevent equal participation and leave many students behind.

Gaps in Current Solutions

While some platforms provide captions or screen readers, they remain limited, expensive, and not universally adaptable. Sign language interpretation is rarely integrated in real-time, and braille conversion tools are not affordable or classroom-friendly. Current solutions are fragmented rather than holistic.

The Idea

The Accessible Learning Hub is a universal platform designed to make education inclusive. Key features include:

  • AI-driven sign language interpretation for real-time lectures and videos.

  • Automatic audio-to-braille conversion and text-to-speech for visually impaired learners.

  • Adaptive quizzes that adjust formats (audio, visual, tactile) to suit individual needs.

The hub is affordable, scalable, and can be integrated into existing classrooms or e-learning systems.

Beneficiaries

  • Differently-abled students: gain equal access to learning.

  • Teachers: save time creating accessible content.

  • Inclusive schools: enhance reputation and inclusivity standards.

Why This Matters

This idea matters to me because I have seen how talented students are often sidelined due to accessibility issues. Education should never be restricted by disability. Many bright students lose opportunities due to inaccessible platforms, despite technology being capable of breaking these barriers. By implementing this hub, we can empower students, support teachers, and build truly inclusive educational communities.

Technical Details

The hub uses AI and Natural Language Processing (NLP) to power real-time sign language interpretation and speech-to-text conversion. Optical Braille recognition and haptic feedback tools enable audio-to-braille transformation. A cloud-based architecture ensures scalability and easy integration with existing learning platforms

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