Virtual Classroom Enhancer

This project is a comprehensive solution for virtual classrooms, providing a wide range of features to enhance the online learning experience. It is developed by Team MaamCoders, consisting of Arnav (Team Leader and Web Lead), Varad (Web Lead), Mihir(AI/ML Lead), Rishabh (UI and Frontend Lead), Milind (CSS Lead), and Prinkal (Frontend Subordinate).

ThinQ.-.Demo.mp4

Features

• CRUD Features: The application supports all CRUD operations for teams, including creation of admins, teachers, students, classrooms, assigning teachers to classrooms, creating lectures, and students joining lectures.

• Calendar Integration: A calendar that lists upcoming lectures for students and teachers.

• Video Calling: The application supports video calling with an integrated drawing board for an interactive experience. It also includes in-call chatting for interaction and live transcription.

• Attention Tracking: The application can detect the level of attention of students during lectures by tracking their eye movements.

• Automated Note Generation: The generated transcript from the video call is fed to a RAG trained LLM to generate notes. These notes are then displayed in handwritten form in the frontend which can be downloaded as PDFs.

• Quiz Generation: Quizzes are created from the transcript for student assessment using our LLM.

• Analysis and Reporting: Analysis of the quiz is conducted and represented in the form of graphs and charts to the teacher and can be mailed to the students' guardians.

• Resource Upload and Storage: Teachers can upload notes and resources to our own cloud storage. Our LLM will refer to these notes for training.

• Train Your Own Bot Feature: Students can upload their own PDF and then ask questions about it with our generated chatbot.

Setup

Next Frontend

cd next
npm i
npm run dev

Flask Backend

cd flask
python -m venv venv
venv\Sceipts\activate
pip install -r requirements.txt
py app.py

Contributors of the Project

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Contributing

To contribute to this project, follow these steps:

1. Fork this repository.
2. Make your changes and commit them to your forked repository.
3. Create a pull request to merge your changes into the original repository.

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