Quationity

We are creating An solution for making live classes more productive and interactive. we will create solution which will find out important questions from comment section and give it to tutor

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** Inspiration ** Online learning platforms often face challenges in managing large-scale live classes, where student questions get lost in the clutter. Teachers lack tools to prioritize and respond to relevant queries effectively, which reduces class engagement and learning outcomes. ** What it does ** Our project is an AI-powered productivity tool designed to enhance live online classes. The system identifies relevant questions from students in real-time, filters spam, and provides class insights and summaries using natural language processing and advanced AI models. With features like contextual understanding from class notes and automated question analysis, our solution saves time for educators and increases engagement in virtual classrooms. Built with Django, our platform is scalable, efficient, and integrates cutting-edge AI technologies to transform the future of online education. ** How we built it ** 1) we have trained our custom model using LSTM which gives output about weather comment is spam or not 2) tag will be added with comment weather it is spam or not 3) once tutor clicks on show relevant questions only not spam questions will be given to sentence model which will find out cosine similarity in between questions and content provided by tutor 4) showcase proper dashboard which shows proper questions out of entire chat section 5) live class poll creation which students can answer in real time which will make learning more interactive 6) entire analysis of every question answered which will help tutor to find out in which topic students are week and other analysis ** Challenges we ran into ** 1) Gathering data of comments to run model 2) creating proper architecture of system which will not take much time to process for which we created LSTM model and only not spam are provided to sentence model 3) Real time poll creation and answer validation ** Accomplishments that we're proud of **

  • using this project we won 3rd place in codesprint2k25 in manalore held in st aloysis college ** What we learned **
  • we learn to gather data manually to train model in proper format
  • learn about using AI models with our systems
  • learn about creating scalable system by just changing architecture ** What's next for Quationity ** 1) our next goal is to make live classes on our platform using WEBRTC 2) using that class we will take transcript and generate short videos using AI tools which will be helful for students to do revision 3) AI assistent for each class which will answer questions post class

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