Loading article...
Loading article...
Stream/Area:
-
Subject:
-
Paper ID:
IJSREM55570
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.
. Artificial Intelligence (AI) has become a required source for individualised and accessible learning in the rapidly digital field of edu-cation. The design structure and implementation of an AI-powered dig-ital chatbot to help students with individualised learning and under-stand and solve academic queries is presented in this work. The sug-gested system provides accurate, relevant advice on course materials, examinations, assignments, and academic information by using Natural Language Processing (NLP) techniques to include and react to student doubts in real-time. The chatbot provides flexible feedback and dynamic recommendations that adjust to each learner’s unique profile by merg-ing a machine-learning model with an appropriate, structured academic knowledge base. Python and Flask were used in the system’s base perfor-mance, and a back-end database was used to document user and system interactions as well as commonly asked queries. Compared to old, con-ventional common assistance systems, test results provide an upgraded response with high accuracy and fewer queries within a given time. The study highlights how AI chatbots may be smart, useful help in higher education, promoting independent learning and raising student satisfac-tion and engagement. It shows high accuracy, low response time, and high user satisfaction. The AI-powered chatbot provides better accu-racy, responses in real-time, improved sessions, customised support, and scalability. However, it encounters difficulties, including the requirement for sustainable living progress, a lot of complex data, and complicated problem-solving methods.
KEYWORDS
Publication Date
12/27/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
Documents
Article Views
0
Total views since publication
PDF Downloads
2
Total downloads since publication
Geographic Reach
5
Digital Preservation: This article is permanently archived on Zenodo and complies with all data preservation standards across major indexing platforms.
Plagiarism Screening
This manuscript has been checked for plagiarism using TurnitinPlagiarismChecker software.
Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
No funding information available for this research.
Related research in the same subject area
Loading similar articles...