Problem: Understanding Car Fuel Efficiency

• Many people struggle to determine the fuel efficiency (MPG) of cars with varying features.
• Fuel efficiency is crucial for cost savings and environmental impact.
• Without the right tools, consumers cannot easily predict this important metric.

Solution: Car MPG Prediction App

• A simple Shiny application that predicts a car’s miles per gallon (MPG) based on its features.
• Inputs:
  • Number of cylinders
  • Horsepower
  • Weight
• The app uses a linear regression model trained on the mtcars dataset.

How It Works: Predicting MPG

# Sample R code to show the model and prediction
model <- lm(mpg ~ cyl + hp + wt, data = mtcars)
new_data <- data.frame(cyl = 6, hp = 150, wt = 3)
prediction <- predict(model, new_data)
prediction

       1 
20.89545 

The model predicts the MPG based on user input.

Impact and Future Work

• Helps consumers make informed decisions about car fuel efficiency.
• Future improvements:
  • More input features (e.g., year, engine type)
  • Deploy on mobile for easier access.

Thank you!