AI Student Grade Prediction System

This project predicts student grades using Machine Learning models trained on feature datasets.
It demonstrates data preprocessing, feature engineering, model training, and evaluation using Python and Jupyter Notebook.

Features

• ML model for predicting student grades
• Data preprocessing and cleaning
• Model evaluation using ROC-AUC
• Jupyter Notebook for detailed analysis

Tech Stack

• Python
• Pandas, NumPy, Scikit-learn
• Jupyter Notebook

How to Download and Run Locally

1. Click the green Code button on the GitHub repo.

2. Copy the HTTPS link.

3. Open CMD or Terminal and run:

git clone https://github.com/hirushifernando/AI-Student-Grade-Prediction-System.git
cd AI-Student-Grade-Prediction-System

(Optional) Create a Python virtual environment:

python -m venv venv
venv\Scripts\activate  # Windows


Install dependencies (if you have a requirements.txt):

pip install -r requirements.txt


Open the Jupyter Notebook:

jupyter notebook


Note: CSV datasets and model files are ignored for privacy. You can add your own datasets to test.