Date of Award

6-13-2024

Document Type

Thesis - SCU Access Only

Publisher

Santa Clara : Santa Clara University, 2024

Department

Computer Science and Engineering

First Advisor

Xiang Li

Abstract

Generating routes with multiple destinations considering optimal route factors as well as users’ previous preferences poses a challenge in existing navigation applications. Without specific destinations in mind, users’ often struggle to find optimal routes that accommodate different stops for each one of their needs along with their primary destination. We aim to develop user-centric navigation and planning software that can process natural language and generate multiple efficient route options tailored to individual preferences and needs. This project aims to address the aforementioned problem by developing a software that utilizes natural language processing to understand user requests for flexible route planning. The software will have functionalities such as location identification, route generation, personalized recommendation systems, and secure user data storage. We will employ technologies such as AWS SAM backend, React Native frontend, Google Maps API, and OpenAI’s GPT API. We plan to thoroughly test our software to ensure the software achieves its objectives and meets our standards.

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