Student-perfomance

📌 Project Overview

This project is an end-to-end Machine Learning pipeline designed to predict a student’s Math score based on demographic and academic factors such as:

• Gender
• Race/Ethnicity
• Parental level of education
• Lunch type
• Test preparation course
• Reading and writing scores

The project integrates:

• Exploratory Data Analysis (EDA) and model training using Jupyter Notebooks.
• Data pipeline for preprocessing, training, evaluation, and inference.
• Flask-based web application for real-time predictions.
• Artifacts storage for datasets, trained models, preprocessing objects, and evaluation metrics.

Installation

1.Clone the repository:

git clone https://github.com/your-username/math-score-predictor.git
cd math-score-predictor

2.Create a virtual environment (recommended):

python -m venv venv
source venv/bin/activate   # On Linux/Mac
venv\Scripts\activate      # On Windows

3.Install dependencies:

pip install -r requirements.txt

Usage

1. Run the Flask App

python app.py