This interactive Shiny app predicts a car’s Miles Per Gallon (MPG)
based on its horsepower, using a simple linear model.

It allows users to adjust horsepower and get an instant fuel efficiency prediction.

Trained on R’s built-in mtcars dataset
(32 cars with MPG and horsepower measurements)

Linear regression used in the app:

model <- lm(mpg ~ hp, data = mtcars)
coef(model)

## (Intercept)          hp 
## 30.09886054 -0.06822828

• User selects horsepower via a slider
  
• The app uses the model to compute MPG
  
• The result updates instantly — reactive and intuitive
  
• Built for ease of use by anyone

• 🌐 Live App
  
• 📁 GitHub Code

Thanks for checking it out!