End-To-End Machine Learning Project

Student Performance Indicator

This end-to-end machine learning project predicts student performance using a Flask web app. It’s containerized with Docker and deployed on Hugging Face Spaces. The app can also be run locally.

Setup & Run

Locally with Flask

1. Clone the Repo

git clone https://github.com/adarshadda/mlproject.git

cd mlproject

3. Install Dependencies

pip install -r requirements.txt

4. Run the Flask App

python app/app.py

Deployment

The app is live on Hugging Face Spaces: https://huggingface.co/spaces/adarshadda/mlproject

Usage

Enter input features on the web interface and click "Predict" to get performance predictions.