🍷 Wine Quality Prediction ML App

This project is a Machine Learning web application that predicts the quality of wine based on physicochemical properties.

🚀 Features

• Interactive UI built using Streamlit
• Predicts wine quality instantly
• Real-time user input
• Data-driven insights

🧠 Machine Learning Model

• Algorithm: Linear Regression
• Dataset: Wine Quality Dataset
• Features used:
  • Fixed acidity
  • Volatile acidity
  • Citric acid
  • Residual sugar
  • Chlorides
  • Free sulfur dioxide
  • Total sulfur dioxide
  • Density
  • pH
  • Sulphates
  • Alcohol

📊 Sample Output

Predicted Wine Quality: 6 (Average Quality 🍷)

💡 Insight

Higher alcohol and sulphates tend to positively influence wine quality.

🛠 Tech Stack

• Python
• Scikit-learn
• Streamlit
• Pandas, NumPy

🌐 Live Demo https://wine-quality-tester-etr9vwy4rjfrgviyuxkcgo.streamlit.app/

📸 App Preview

📌 How to Run

pip install -r requirements.txt streamlit run app.py