Local Chapter Bengaluru, India Chapter
Coordinated by,
Status: Completed
Project Duration: 15 May 2023 - 01 Jul 2023
There are many ways to study smartly. But most of the students are not aware of the techniques they can use to excel in their exams. They rely on regular methods, it’s not their fault as they are not taught how to use such techniques.
What if there was a way to effectively study and not forget what you’ve studied? It would boost the confidence of even average performing students. The techniques which I’m referring to here are Spaced repetition, active recall, solving problems and deliberate practice.
For a beginner, these techniques to apply when studying can be overwhelming. They are not in the habit of following them and can lose track with high chances of going back to normal study routines.
The above problem is what we solve using AI models. We can summarize the whole content that they would have previously studied which can help the student to practice spaced repetition. Using the NLP techniques, we can mask of the important keywords to enable the student to perform active recall.
In this competitive world, for a person to be successful, he needs to have a good education. However, in today’s world the attention of the students is dropping. Their focus levels dip due to social media, internet and smartphone usage. The problem we are trying to solve is, how can we overcome the issue and make it easier using AI techniques for students to prepare well for exams.
We increase the memory and concept retention of the students through study techniques such as Spaced repetition, Active recall. We incorporate AI models to automate some of the above mentioned techniques.
This AI project has a real potential, considering how students are passionate to learn in countries such as India. They enroll in number of exams which potentially decide their future. And there are huge EdTech companies with the right content but nothing specific to increase their retention capability and remember what they have studied.
Week 1
Research on NLP algorithms and their performance for study techniques.
Week 2
Work on Spaced repetition model and Flashcard generation using NLP and deep learning.
Week 3
Question and MCQs generation model using huggingface library.
Week 4
AI based reading tool to help read abstract concepts easily
Week 5
Evaluation / Deployment of the model
Week 6
App development
The students will get to experience hands-on learning on topics including NLP and its state of art algorithms – BERT,T5,GPT; Deep learning and few topics in Computer Vision.