BlockNotary: Digital Solution for Notarization Fraud Prevention Using Blockchain Technology
Creating question papers manually is a labor-intensive, time-consuming, and often error-prone taskthat lacks the level of customization needed to meet the diverse requirements of modern educationalinstitutions. To solve this problem, the Online Question Paper Generation System offers an innovative andefficient solution for automating the process of question paper creation. The system allows educators to easilydesign and generate customized question papers by selecting questions from a pre built, categorized questionbank, with options to filter based on subjects, topics, and difficulty levels. A key feature of the system is itsability to randomize question order, ensuring that each student receives a unique question paper, promotingfairness and reducing the risk of cheating. Additionally, the system integrates user authentication for secureaccess, a question bank management feature for organizing questions, and tools for analyzing studentperformance based on the generated exams. By significantly reducing manual labor, the system not only savestime but also enhances exam integrity and consistency, while providing an efficient solution for handling largevolumes of question paper creation across various subjects and academic levels. The use of Python fordevelopment ensures that the platform is robust, flexible, and scalable, with a user-friendly interface thatsimplifies the paper generation process. This system ultimately helps educators maintain a high standard ofeducation by improving the quality of examinations, making exam paper generation faster, more accurate, andadaptable to different educational needs.
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-06-15
- DOI
- https://doi.org/10.5281/zenodo.15669467
- Primary Topic
- Enzyme Production and Characterization
- Type
- article
- Field-Weighted Citation Impact
- 0.00