Student Math Score Prediction

This project aims to predict students' math scores using machine learning techniques. It's built using Python with pandas, scikit-learn, and Flask for model development and web deployment.

Features

• Data Preprocessing: Clean and preprocess student data.
• Modeling: Train ML models to predict scores.
• Web App: A Flask-based interface to interact with predictions.

Installation

1. Clone the repository:

   git clone https://github.com/rawoolsiddhi/Student-Math-Score-Prediction.git
   

Install dependencies

pip install -r requirements.txt

Usage

1. Run the app:
   python app.py
2. Open in your browser at http://127.0.0.1:5000/.

File Structure

1. src/:Core logic and data preprocessing scripts.
2. templates/: HTML files for the web app.
3. app.py: Main Flask app.
4. requirements.txt: Python dependencies.
5. setup.py: Package configuration.