🌍 Life Expectancy Prediction Model

This project predicts Life Expectancy based on various socio-economic and health-related factors. The model is built using Machine Learning techniques and deployed as an interactive Streamlit app.

Features

• Exploratory Data Analysis (EDA): Visualizing and understanding key factors affecting life expectancy.
• Data Preprocessing: Handling missing values, feature scaling, and transformation.
• Model Building: Implemented multiple regression models with hyperparameter tuning.
• Evaluation Metrics: Used R² Score to evaluate model performance.
• Interactive Streamlit App: Users can input data and get real-time predictions.

How to Use

1. Open the Streamlit App (link below).
2. Enter the required input features.
3. Click Predict to see the estimated Life Expectancy.

Dataset

The dataset contains features like:

• GDP, Alcohol Consumption, Schooling, Immunization Coverage, Mortality Rate, BMI, etc.
• The target variable is Life Expectancy (in years).

🚀 Live Demo

🔗 Check out the live app here: Life Expectancy Prediction