Inspiration
Many students like us have to take lots of notes on classes. The problem is that when we take notes, we may not automatically be able to recollect all the key details. We can try memorizing the notes, but that is not as engaging. Answering questions on notes may be more engaging and can help someone find what they haven't recollected. Thus, we made a project which gives questons to students based on notes.
What it does
This project takes in information and quizzes the user based on the information provided.
How we built it
We built this project using Bootstrap, CSS, HTML, Django, Python and an AI model from hugging face. The AI model is valhalla/t5-small-qg-hl. The AI model was used for queston generation. HTML was used for the webpage. Bootstrap and CSS was used to make the webpage look good. Django was used for backend development.
Challenges we ran into
A challenge was how to make the model generate better questions. I asked chatGPT how to solve this issue. To solve this, spaCY was used to find the key words in each sentence. This helped in generating questions that made more sense.
Accomplishments that we're proud of
We are proud of using an AI model in a project for the first time.
What we learned
We learned more about hugging face models.
What's next for Quizzer
Although the quizzer may generate questions that make sense, it only generates questuons that require retention. An improvement for this project would be to use a better AI model that can ask questions that require the skill of a concept discussed in the notes.
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