Student Performance Predictor

Team Members:

1. Divya Pratap Singh
2. Aman Kumar
3. Vikas Kumar

Steps for Execution:

1. Option 1: Run locally Clone the repository Install dependencies:

   pip install -r requirements.txt

   Run the Streamlit app:

   streamlit run App.py

2. Option 2: Run using Docker Build the Docker image:

   docker build -t student-predictor .

   Run the Docker container:

   docker run -p 8501:8501 student-predictor
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Checklist:

1. Final Project Report
2. Certificate VII Semester (Dated: December 2024).
3. Certificate VIII Semester (Dated: May 2025).
4. Synopsis
5. Final Presentation
6. Source Code
7. Database dump (.sql file)
8. If a web project, then a Docker file for deployment
9. README (This file)