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AirBnB Price Prediction App

July 31, 2025 by
Benedict Ouma

Airbnb Price Prediction App 

Smarter Pricing with Data:

Ever booked an Airbnb and wondered why prices vary so much for similar listings? I built a machine learning app that breaks this down - helping both hosts and guests understand what really drives prices, and even predict them.

This app uses real Airbnb data (like from New York City) to explore things like:

  • How different neighborhoods compare in price.

  • Whether entire homes or private rooms are more expensive.

  • How reviews, availability, and location affect nightly rates.

Why I built this:

To help users make smarter booking and hosting decisions using data, not guesswork.

What the app does:

  • Visualizes neighborhood and room-type comparisons

  • Predicts nightly prices based on key features

  • Lets users explore price trends interactively

Behind the scenes:

  • Built with Python, Streamlit, and models like XGBoost, Random Forest, and Linear Regression

  • Uses tools like Seaborn and Plotly for visuals

  • Trained on public Airbnb data for accurate predictions

Try the app here: Airbnb Price Prediction App

View code on GitHub: Airbnb Price Prediction Repository