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EduGenius is an innovative AI-powered tutoring platform developed by us who are three undergraduates at the Department of Computer Science and Engineering, University of Moratuwa, as our Semester 5 project.

The platform addresses challenges in modern education by offering personalized and efficient tutoring for O/Level students in mathematics. Leveraging advanced technologies such as LangChain and pre-processed mathematics marking schemes stored in a vector database, EduGenius generates tailored tutoring materials and provides instant, real-time feedback and grading. This approach enhances the learning experience, empowering students with a more interactive and supportive learning environment.

Let's dive into a quick tour of the EduGenius platform

Let's dive into a quick tour of the EduGenius platform.

RocketTry EduGenius Now!

Features

  • User Registration & Login: Users can register and log in using their email addresses. Password recovery is also supported.
  • Math Problem Solving: Students can select math problems, submit their answers via images or canvas input, and receive immediate feedback.
  • Hints & Tips: If students get stuck, they can request hints from the system.
  • Feedback & Scoring: EduGenius provides feedback on students' answers and scores them based on correctness.
  • Question Clarification: Students can ask questions related to the problems and get clarifications from the system.
  • User Feedback: Users can provide feedback on their tutoring experience.
  • Past Session Review: Users can review their past tutoring sessions and check the marks obtained.
  • Math Solving Tool: Integrated with Wolfram Alpha's API for step-by-step math problem solutions.
  • Admin Features: Admins can manage content, user accounts, and generate reports.
Refer the documentation for the technical details of the project.

Installation

  1. Clone the repository: Clone the repository to your local machine using the following command:
git clone https://github.com/Irash-Perera/EduGenius.git
  1. Install the dependencies: Navigate to the project directory and install the required dependencies using the following command:
pip install -r requirements.txt
  1. Run the application: Run the application using the following command:
streamlit run app.py

Contributors

Let's dive into a quick tour of the EduGenius platform.