A Novel Online Quizzing System for Blind People by implementing Modern Voice Recognition Techniques

Vikas Kamra, Alankrita Singh, Priyanshi Sharma, Ritu Yadav

2023 2nd Edition of IEEE Delhi Section Flagship Conference (DELCON)(2023)

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摘要
Online assessment of students is a new challenge to the old education system. It is even more difficult to track the daily progress made by an individual student in online learning environment. To solve this problem, we need a novel approach for online assessments. "Quizi for Malvoyant" is a web-based application that not only provides solution to the above problem but also provides a platform that can also be used by visually impaired students. The increasing use of online system in our educational environment and lack of proper monitoring in student’s progress is a big threat to the education system. Moreover, the existing online modes cannot be easily accessed by any visually impaired student which is a prominent gap in online mode of learning. "Quizi for Malvoyant" is a web-based application which can be used by a normal person or visually impaired person. To use the proposed platform, a user can simply log in to be able to create and join quizzes via sharing the quiz code. For blind students, there will be some speech commands that can be followed for smooth conduction of online quizzes. This system will do automated marking which help teachers by saving their time. Teachers can also set up quizzes which will auto-grade itself. Students can answer the quiz from any location and get immediate results. This research paper will provide a unique web-based approach for online quizzing and assessment work which is implemented on MERN STACK technology.
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关键词
full stack,mern stack,online quizzing system,voice recognition
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