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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM55145
Volume:
9 |
12 |
Dec 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Obtaining high-quality education continues to be a challenge difficulty in rural areas due to a lack of skilled teachers, inadequate infrastructure, out-of-date instructional materials, Restricted internet connectivity. These issues add to a widening disparity between urban and rural students, limiting their academic and professional chances. To solve this, the initiative introduces an AI-driven platform hosted in the cloud and tailored exclusively for rural pupils. The The site features a layout comprising video tutorials, notes quizzes, along, with activities. It employs AI to monitor student progress and deliver personalized information tailored to personalized learning requirements. This system, integrating AI as well, as technology guarantees adaptable, expandable and accessible education. This approach aims to allow children to acquire knowledge independently and bridge the educational gap between rural and urban areas. Even in settings with limited resources, cloud-based deployment guarantees scalability, affordable accessibility, and smooth delivery of multimedia educational content. Additionally, the system utilizes data analytics to monitor students’ advance and provide educators and learners personalized feedback. The proposed platform significantly boosts learning involvement comprehension, and accessibility for rural students, according pertaining to research. The results reveal the ways AI-driven educational resources can aid in bridging the gap and advance inclusive, high-quality education in marginalized groups.
KEYWORDS
Publication Date
12/11/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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