# Ola and Uber: Investigating Intelligent Data Structures

Course Information

• Course Name: Algorithmic Problem Solving
• Course Code: 23ECSE309
• Student Name: Prajwal Mutnal
• SRN: 01fe21bcs159
• Course Instructor: Prakash Hegade
• University: KLE Technological University, Hubballi-31

Portfolio Topic/Domain: OLA,UBER

A Move Towards Enhanced Google Service Management

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Table of Contents

• Introduction
• Objectives/Need of Portfolio
• Algorithms and Data Structures: Business Use Cases and Applications

Introduction

Welcome to the Portfolio Project on Ola,Uber: Investigating Intelligent Data Structures. This project is a deep dive into the advanced algorithms and data structures that power OLA and UBER services, enabling enhanced service management and efficiency.
Ola and Uber are the prominent ride-hailing services in the world.They provide users with a convenient way to book rides through mobile applications, leveraging complex algorithms and data structures to ensure efficiency, reliability, and scalability.

Objectives/Need of Portfolio

The main objectives of this portfolio are:

• To understand the significance of advanced algorithms and data structures that OLA and UBER is using for Efficient Data Management.
• To explore various business use cases and applications of these algorithms and data structures.
• To analyze the impact of these technologies for user Experience.
• To analyse the data and Insights

Algorithms and Data Structures: Business Use Cases and Applications

In this section, we will explore various algorithms and data structures used by OLA and UBER to manage their services efficiently. Some of the key focus areas will include:

1. User Registration and Management:
   Hash Tables
2. Ride Matching:
   Ride Matching
3. Real-Time Tracking:
   Real-Time Tracking
4. Dynamic Pricing:
   Dynamic Pricing
5. Payment Processing:
   Payment Processing
6. Shortest Path:
   Shortest Path
7. Route Optimization for multiple path:
   Route Optimization
8. Customer Feedback:
   Customer Feedback
9. Surge Pricing:
   Surge Pricing
10. Driver Payment Settlement:
    Driver Payment

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This portfolio aims to provide a comprehensive understanding of how OLA and UBER leverage cutting-edge algorithms and data structures to maintain their competitive edge and deliver exceptional services to their users.