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Randomly generate question paper

Author

Listed:
  • Subhash Rathod
  • Yogesh Bhaturkar
  • Kiran Bolange
  • Nitesh Sapkal

Abstract

Now a days the major problems faced in many colleges and universities when they send exam paper to college then before the exam time it gets leaked in many colleges and still that is very difficult to find from where actually the paper has been leak. And when the question paper is leaked in one college then same question paper will be spread throughout all colleges. The system aims to give information about design and implementation of the automatic question paper generation system for educational organizations. At first the system will input questions and by filtering that as unique using natural language processing and store entire possible question in its database which is the required dataset to generate the question paper as per syllabus of particular subject .The dataset contains the possible question with respect to marks to each question this dataset is may be formed by manually entering the question to the system to generate the dataset or question bank to generate the required question paper as per required pattern. The system will not repeat any question in the generated question paper. It mainly deals with the gathering, sorting and administration of a large amount of questions and deliver it to the organization with full of security. When the system delivers the paper to college, the paper will be encrypted with the help of blowfish algorithm and for decrypting it there is need of key that will send by the system after request.

Suggested Citation

  • Subhash Rathod & Yogesh Bhaturkar & Kiran Bolange & Nitesh Sapkal, 2018. "Randomly generate question paper," International Journal of Scientific Research in Computer Science, Engineering and Information Technology, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 3(5), pages 618-623, June.
  • Handle: RePEc:jbh:ijsrcs:v3:y2018:i5:id:hcseit1835166
    Note: Article URL: https://ijsrcseit.com/CSEIT1835166
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