QforQuizzer
Q4Quizzer aims to provide learning with credibility. COVID-19 has forced educational institutes to go online, and the platforms available for online learning and assessments are not up to mark to support learning and credibility at the same time. Q4Quizzer aims to bring best of both worlds i.e learn
2025-06-28 16:34:39 - Adil Khan
QforQuizzer
Project Area of Specialization Artificial IntelligenceProject SummaryQ4Quizzer aims to provide learning with credibility. COVID-19 has forced educational institutes to go online, and the platforms available for online learning and assessments are not up to mark to support learning and credibility at the same time. Q4Quizzer aims to bring best of both worlds i.e learning and credibility combined in a single platform.
Project ObjectivesThe objective of Q4Quizzer is to achieve learning and credibility. Learning is achieved by isolating student's weaknesses and suggesting quizzes based on that weakness in order to remove/reduce the weakness.
Furthermore, in conjunction with learning, credibility is the objective of Q4Quizzer which can be achieved using State of the Art Facial Recognition API's, tracking API's, and conventional algorithms to detect analomous behavior of students during quiz.
This all works in conjunction to provide a fair platform for students in this testing times, and aims to enhance online education altogether.
Data is gathered and filtered/cleaned. After cleaning data, it is used in training model to extract learning objectives.
ML Model trained to extract learning objectives from questions. The learning objectives are then used to identify the weaknesses of students and then suggessting quizzes based on that weaknesses.
Monitoring algorithms such as speed gazing (z-score to isolate outliers) and shuffling of questions for each student ensure credibility. Along with the monitoring algorithms, AI is also used to detect face during quiz along with google API to track user's location.
The aspect of online education opens some real life challenges that need to be solved. The formemost being the credibility of the student that is giving the quiz online, and since all material is available within few clicks, the online quiz cannot be fair for all students unless it is monitored. Q4Quizzer aims to monitor most of the activities of the student during quiz in order to produce fair results.
The second challenge that it aims to solve is learning. Most of the students attempting a paper/quiz do not have an idea of their weak points or the concepts they need to work on. Q4Quizzer recommendation system first identifies student's weaknesses and then suggests quizzes in order to reduce/remove that weakness
ML Model trained to extract learning objectives from questions. The learning objectives are then used to identify the weaknesses of students and then suggessting quizzes based on that weaknesses.
Monitoring algorithms such as speed gazing (z-score to isolate outliers) and shuffling of questions for each student ensure credibility. Along with the monitoring algorithms, AI is also used to detect face during quiz along with google API to track user's location.
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Total in (Rs) | 65000 | |||
| Google Geolocation API | Equipment | 2 | 20000 | 40000 |
| Amazon EC2 Instance | Equipment | 1 | 5000 | 5000 |
| Amazon RDS Instance | Equipment | 1 | 5000 | 5000 |
| Face Recognition API | Equipment | 3 | 5000 | 15000 |