Wine Prediction MLOps Project

Overview

This project demonstrates the deployment of a machine learning model for wine quality prediction. Using MLOps practices, we've automated the workflow from data preprocessing to model deployment.

Key Features

• Automated CI/CD Pipeline
• Scalable Deployment
• Real-time Model Predictions

Demo Video

Watch the demo on YouTube

Quick Start

1. Create Environment:

   conda create -n mlproj python=3.8 -y 

2. Activate Environment:

   conda activate mlproj

3. Install Dependencies:

   pip install -r requirements.txt

4. Run Application:

   python app.py

5. Access the Application:

   Open your browser and go to 0.0.0.0:8080.