Authors :
Nwogu, Obioma Uchenna; Aku-Ibe, Chizuroke Akuwudike; Ukatta, Kelechi Augustine; Okereke John Ogbaa; Okoro Akachi B.
Volume/Issue :
Volume 10 - 2025, Issue 12 - December
Google Scholar :
https://tinyurl.com/rk3v4caz
Scribd :
https://tinyurl.com/2cc98s4d
DOI :
https://doi.org/10.38124/ijisrt/25dec560
Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.
Note : Google Scholar may take 30 to 40 days to display the article.
Abstract :
Navigation within large campuses often poses challenges to new students, visitors, and even staff. The SmartNav
Navigation System was developed to address this challenge by providing a mobile and web-based platform for guiding users
around the Federal Polytechnic Nekede campus. The system leverages the Google Maps API for outdoor navigation, allowing
users to view the campus layout and identify major buildings such as departments, hostels, lecture halls, and administrative
offices. The backend was simulated using Python and JSON data structures to store building information, while the interface
was sketched with wireframes to guide future UI/UX development. Although the current prototype focuses primarily on
basic map visualization, future upgrades will include route generation, indoor navigation, real-time notices, and academic
tools such as timetables, lost and found, and past questions. The app was hosted on GitHub Pages for testing and reviewed
by students, who confirmed its potential usefulness as a smart campus solution. This project demonstrates that with minimal
resources and open-source technologies, a scalable and user-friendly campus navigation system can be achieved. It further
provides a foundation for continuous development and future integration into the broader vision of a smart campus.
Keywords :
Campus Navigation, SmartNav Navigation System, UI/UX Development, Google Maps API.
References :
- Abdelghany, A., & Mahdy, H. (2021). Smart campus systems: An overview and future directions. Journal of Smart Technologies, 9(2), 45–56.
- Adeniran, A. O., & Abubakar, H. (2020). The role of ICT in higher education in Nigeria: Prospects and challenges. International Journal of Education and Development, 15(3), 121–134.
- Akinyemi, A. I. (2019). Application of GIS in Nigerian universities. Nigerian Journal of Technology, 38(1), 55–63.
- Al-Fuqaha, A., Guizani, M., Mohammadi, M., Aledhari, M., & Ayyash, M. (2015). Internet of Things: A survey on enabling technologies, protocols, and applications. IEEE Communications Surveys & Tutorials, 17(4), 2347–2376.
- Brin, S., & Page, L. (1998). The anatomy of a large-scale hypertextual web search engine. Computer Networks and ISDN Systems, 30(1–7), 107–117.
- CampusBird. (2019). Interactive campus maps and virtual tours. Retrieved from https://www.campusbird.com
- Federal Polytechnic Nekede. (2023). Official Website. Retrieved from https://fpno.edu.ng
- Google Developers. (2023). Google Maps JavaScript API Documentation. Retrieved from https://developers.google.com/maps/documentation/javascript
- Goodchild, M. F. (2007). Citizens as sensors: The world of volunteered geography. GeoJournal, 69(4), 211–221.
- Haklay, M., & Weber, P. (2008). OpenStreetMap: User-generated street maps. IEEE Pervasive Computing, 7(4), 12–18.
- Hossain, M. S., & Muhammad, G. (2019). Cloud-assisted industrial Internet of Things (IoT) – enabled framework for health monitoring. Future Generation Computer Systems, 92, 178–188.
- International Telecommunication Union (ITU). (2022). ICT facts and figures: Measuring digital development. Geneva: ITU.
- Kamel Boulos, M. N., & Al-Shorbaji, N. M. (2014). On the Internet of Things, smart cities, and the WHO Healthy Cities. International Journal of Health Geographics, 13(10), 1–6.
Navigation within large campuses often poses challenges to new students, visitors, and even staff. The SmartNav
Navigation System was developed to address this challenge by providing a mobile and web-based platform for guiding users
around the Federal Polytechnic Nekede campus. The system leverages the Google Maps API for outdoor navigation, allowing
users to view the campus layout and identify major buildings such as departments, hostels, lecture halls, and administrative
offices. The backend was simulated using Python and JSON data structures to store building information, while the interface
was sketched with wireframes to guide future UI/UX development. Although the current prototype focuses primarily on
basic map visualization, future upgrades will include route generation, indoor navigation, real-time notices, and academic
tools such as timetables, lost and found, and past questions. The app was hosted on GitHub Pages for testing and reviewed
by students, who confirmed its potential usefulness as a smart campus solution. This project demonstrates that with minimal
resources and open-source technologies, a scalable and user-friendly campus navigation system can be achieved. It further
provides a foundation for continuous development and future integration into the broader vision of a smart campus.
Keywords :
Campus Navigation, SmartNav Navigation System, UI/UX Development, Google Maps API.