This document describes a data science project that aims to identify affordable residential communities in Dubai based on criteria like annual rental costs, proximity to amenities, and transportation access. The project scrapes data from real estate websites, uses APIs to gather location and venue data, then performs analysis including k-means clustering to segment communities. Key results identify International City as the lowest cost community overall, while Discovery Gardens and Silicon Oasis offer economical housing with many nearby venues. The analysis and visualizations are intended to help people choose affordable Dubai communities efficiently.