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AI Features

Project Description for Uber

Explore how to optimize Uber's driver allocation system by selecting nearest drivers, calculating travel costs considering rain impact, and implementing ride-sharing features. Understand fare conversion and ranking adjustments to improve accessibility and fairness in driver selection. This lesson helps you develop solutions for real-world problems applicable to coding interviews.

We'll cover the following...

Introduction

Uber is the largest ride-hailing company in the world. They provide services like food and items delivery in addition to the primary service of passenger pick up and drop off. Their user base in terms of consumers and drivers is growing significantly. So, the engineering team at Uber keeps trying to find better ways to efficiently allocate nearby drivers to users.

The scenario and the problems discussed in this chapter discuss efficient driver allocation functionality and how we can improve it.

Statement

Imagine you are a developer on the Uber engineering team. The team is targeting some optimizations in driver allocation to rides as well as accessibility features for the client application. wants to ...