Skillify: Enhanced Learning Management System Using Generative AI
Traditionally, students faced challenges in acquiring knowledge from textbooks due to difficulties in access and the high cost associated with them. Online learning aims to overcome these hurdles by providing a digital alternative that is accessible to everyone. Students can overcome geographical obstacles by using online platforms, gaining access to a wealth of instructional resources. This digital paradigm shift seeks to democratize education by making it more equitable and inclusive. However, the accessibility of online learning remains a significant challenge, especially for those who are visually impaired. Additionally, the vast number of courses offered on online platforms can make it challenging for learners to select the right course that can advance their careers. Learners often struggle to identify the best courses to improve their skills. To overcome accessibility challenges for the visually impaired, our platform incorporates a text-to-speech feature, which converts written text into spoken words. To address the problem of choosing the right course, we are implementing a course recommendation system to enable learners to acquire new skills that are beneficial to their advancement. Our platform encompasses three distinct modules: user, professor, and admin. Each module serves a specific role within our system. This project exemplifies the potential of artificial intelligence in revolutionizing education through enhanced learning experiences. Our proposed model aims to improve the efficiency of existing models by implementing text-to-speech and course recommendation features.
Authors
- L. Pallavi
- Srinuvasarao Sanapala (ORCID: https://orcid.org/0000-0002-5681-9870)
- Gollapalli Persis Sonu
- Dhairya
- Jeeri Hrishikesh
- Dandla Vaishnavi
Publication Details
- Published
- 2024-08-08
- DOI
- https://doi.org/10.1109/iccpct61902.2024.10672966
- Citations
- 2
- Primary Topic
- Intelligent Tutoring Systems and Adaptive Learning
- Type
- article
- Field-Weighted Citation Impact
- 0.69