📊 Project Overview

This project analyzes Airbnb data using AI-augmented analytics to uncover patterns in pricing, availability, and property performance, supporting data-driven decision making in the short-term rental market.

🎯 Business Problem

Hosts and platforms like Airbnb need to understand what factors influence pricing, occupancy, and performance.

This project aims to identify those factors and generate insights to optimize revenue and listing strategies.

📂 Dataset

• Source: Public Airbnb dataset
• Type: Listings and rental data
• Includes: price, location, availability, room type, reviews

⚙️ Process

• Data cleaning and preprocessing using Python
• Exploratory data analysis (EDA)
• Analysis of pricing, availability, and location impact
• AI-assisted insight generation

📈 Key KPIs

• Average Price
• Price by Location
• Availability Rate
• Listings by Room Type
• Review Frequency