Authors : M. R. Shaikh; Y. K. Dhotre; Rahane Divya Shashikant; Pote Sneha Sunil; Rajput Riddhi Gopal

Volume/Issue : Volume 10 - 2025, Issue 10 - October

Google Scholar : https://tinyurl.com/mrpu6b2t

Scribd : https://tinyurl.com/59vwa8f5

DOI : https://doi.org/10.38124/ijisrt/25oct673

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Abstract : Ensuring equal access to education for all students remains a significant challenge, particularly for those with disabilities. AI-Powered Real-Time ScribeConnect is an innovative platform designed to bridge this gap by instantly connecting students with volunteer scribes. The system leverages AI algorithms to intelligently match students with suitable volunteers based on disability type, location, and availability, providing timely and personalized support. Key features include last-minute scribe allocation, verification mechanisms to ensure volunteer reliability, and recognition systems to encourage active participation. By offering real-time assistance, ScribeConnect enhances accessibility, promotes inclusive learning, and empowers students with disabilities to fully engage in academic activities. This platform exemplifies how technology can create equitable learning environments and improve educational outcomes for all learners.

Keywords : AI, ScribeConnect, Accessibility, Real-Time Assistance, Students with Disabilities.

References :

1. S. K. Sharma and P. Kumar, "AI-based assistive technologies for students with disabilities: A review," International Journal of Advanced Computer Science and Applications (IJACSA), vol. 13, no. 5, pp. 102–108, 2022.
2. M. Gupta, A. Singh, and N. Verma, "Smart educational support system using artificial intelligence for differently-abled students," International Journal of Innovative Science and Research Technology (IJISRT), vol. 8, no. 3, pp. 456–461, March 2023.
3. P. Patel and R. Mehta, "AI-driven volunteer management system for social assistance," International Journal of Emerging Technologies and Innovative Research (JETIR), vol. 10, no. 2, pp. 245–251, February 2023.
4. D. Kaur and V. Bansal, "Accessibility enhancement in e-learning through machine learning-based personalization," International Journal of Computer Applications, vol. 184, no. 40, pp. 30–36, 2022.
5. S. Tiwari, "Real-time communication platforms for educational inclusion: A case study," Journal of Educational Technology and Online Learning, vol. 6, no. 2, pp. 115–123, 2023.
6. R. Nicole, "AI-powered matching algorithms for optimized service allocation," IEEE Access, vol. 12, pp. 11245–11253, 2024.
7. M. Young, The Technical Writer’s Handbook, Mill Valley, CA: University Science, 1989.