VidyaRaksha AI: A Quality Assurance Approach For Intelligent Online Assessment Systems

21 Apr

Authors: Diya Parmar, Dr. Chetan Soni

Abstract: With the growing shift toward digital education, the need for efficient and reliable online assessment systems has become increasingly important. Many existing platforms face challenges such as inaccurate evaluation, delayed results, and system reliability issues. This paper presents VidyaRaksha AI, an intelligent web-based assessment system designed to automate the examination process using Artificial Intelligence. The system supports key functionalities such as test creation, user participation, auto-submission, and instant result generation, which help reduce manual effort and improve overall efficiency. From a Quality Assurance (QA) perspective, the system was tested using techniques such as functional testing and regression testing to ensure correct system behavior and stability. Various test cases, including both positive and negative scenarios, were executed to identify issues like auto- submission errors, missing UI elements, and functional inconsistencies. These defects were reported and resolved to enhance system performance. The results indicate that the system provides accurate evaluation, faster result processing, and improved user experience. Overall, VidyaRaksha AI demonstrates a reliable and efficient approach to modernizing online assessment systems through the integration of AI and effective QA practices.

DOI: https://doi.org/10.5281/zenodo.19676606