Synergistic Education and Network Optimization with Gen AI
In the constant changing environment in education, technology is used to help improve student learning and academic monitoring. To fulfill the demand for dynamic and inclusive learning resources, this system applies machine learning, network analysis to enhance students' approaches to learning. In its simplest form, the platform offers the ability to select courses of interest and receive timely updates on academic events based on intelligent algorithms as learning paths. Student performance information can be easily compiled and presented through a single dashboard, which allows students and educators to monitor the performance and achievement of the students easily. The system also facilitates the collection of data on students' performance with a view to ascertaining their performance in relation to their strengths and weaknesses. In addition, students can obtain previous semester question papers, making them ready for examinations. Also, network monitoring mechanisms guarantee the performance of the applications as institutions continue providing quality education. The purpose of this project is to increase the availability of educational material and to encourage innovations within educational settings and encourage success in various educational settings.
Authors
- M Jaeyalakshmi
- R Sweatha
- Thamizh Bharathi M
Institutions
- Rajalakshmi Engineering College
Publication Details
- Published
- 2025-04-16
- DOI
- https://doi.org/10.1109/iccct63501.2025.11018916
- Primary Topic
- Online Learning and Analytics
- Type
- article
- Field-Weighted Citation Impact
- 0.00