2021-2022 Winner


Automated question generation for improving text comprehension

Award Level:
Catalyst Award

Project Description

Kvasir generates relevant questions of varying complexity for a given text using Natural Language Generation (NLG) methods and validation by a tutor. While question answering is an effective way of improving reading comprehension, tutors have limited time for asking individualized questions and providing personalized feedback. Through its Human-in-the-Loop (HITL) approach, Kvasir provides tutors and teachers with a resource for making a complex and time-consuming task easier.

Meet Our Team

Mihai Dascălu

CTO, Clevent

Ștefan Rușeți

Lead Programmer, Clevent

Interested in competing? Register for info sessions on October 3 or October 12 to learn more.
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