Ride with me - Ride-sharing application with opportunistic AI

This project is to create an in-house ride sharing application, Ride with ME for UTAR-Kampar campus. It applies opportunistic AI to optimise the scheduling of riders to passenger efficiently. The app is developed by using Flutter and the opportunistic AI algorithm that developed will assist in predi...

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Bibliographic Details
Main Author: Teh, Ming En
Format: Final Year Project / Dissertation / Thesis
Published: 2023
Subjects:
Online Access:http://eprints.utar.edu.my/5776/
http://eprints.utar.edu.my/5776/1/fyp_CS_2023_TME.pdf
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author Teh, Ming En
author_facet Teh, Ming En
author_sort Teh, Ming En
building UTAR Institutional Repository
collection Online Access
description This project is to create an in-house ride sharing application, Ride with ME for UTAR-Kampar campus. It applies opportunistic AI to optimise the scheduling of riders to passenger efficiently. The app is developed by using Flutter and the opportunistic AI algorithm that developed will assist in predicting the user’s daily schedule of location visit based on the user’s Google Maps’ data and thus, matching the driver and passengers intelligently. This will assist a lot of students from UTAR Kampar campus that indeed need a helping hand in transportation problem.
first_indexed 2025-11-15T19:39:30Z
format Final Year Project / Dissertation / Thesis
id utar-5776
institution Universiti Tunku Abdul Rahman
institution_category Local University
last_indexed 2025-11-15T19:39:30Z
publishDate 2023
recordtype eprints
repository_type Digital Repository
spelling utar-57762023-09-08T14:07:19Z Ride with me - Ride-sharing application with opportunistic AI Teh, Ming En Q Science (General) T Technology (General) This project is to create an in-house ride sharing application, Ride with ME for UTAR-Kampar campus. It applies opportunistic AI to optimise the scheduling of riders to passenger efficiently. The app is developed by using Flutter and the opportunistic AI algorithm that developed will assist in predicting the user’s daily schedule of location visit based on the user’s Google Maps’ data and thus, matching the driver and passengers intelligently. This will assist a lot of students from UTAR Kampar campus that indeed need a helping hand in transportation problem. 2023-01 Final Year Project / Dissertation / Thesis NonPeerReviewed application/pdf http://eprints.utar.edu.my/5776/1/fyp_CS_2023_TME.pdf Teh, Ming En (2023) Ride with me - Ride-sharing application with opportunistic AI. Final Year Project, UTAR. http://eprints.utar.edu.my/5776/
spellingShingle Q Science (General)
T Technology (General)
Teh, Ming En
Ride with me - Ride-sharing application with opportunistic AI
title Ride with me - Ride-sharing application with opportunistic AI
title_full Ride with me - Ride-sharing application with opportunistic AI
title_fullStr Ride with me - Ride-sharing application with opportunistic AI
title_full_unstemmed Ride with me - Ride-sharing application with opportunistic AI
title_short Ride with me - Ride-sharing application with opportunistic AI
title_sort ride with me - ride-sharing application with opportunistic ai
topic Q Science (General)
T Technology (General)
url http://eprints.utar.edu.my/5776/
http://eprints.utar.edu.my/5776/1/fyp_CS_2023_TME.pdf