UK Varsity Adopts APP Developed by FUTA Alumnus to Address Transportation Challenges

The University of Wales has adopted Gswift, an innovative transportation app developed by Sunday Olaoluwa Ogedengbe, a Nigerian alumnus of the Federal University of Technology Akure (FUTA). Ogedengbe, who recently completed his master's degree at Cardiff Metropolitan University with merit, created Gswift to address the persistent transportation issues in Wales, particularly in the Caerphilly Council area during weekends and bank holidays.

The local council is in the process of granting licenses for Gswift's deployment across the United Kingdom, recognizing the app's potential to revolutionize transportation solutions. Gswift is a neighbor-to-neighbor ride-sharing application designed to provide reliable transportation alternatives during times when public transport is insufficient. This app leverages machine learning predictive models to forecast and address transportation needs, especially in rural areas where public transport options are limited.

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In an exclusive feature on Cardiff Metropolitan University's student blog, Ogedengbe shared insights into his journey and the development of Gswift. Driven by a passion for leveraging data to solve real-world problems, he utilized his background in software development and data science to create an application that not only addresses transportation challenges but also fosters community engagement.

Ogedengbe's academic and professional journey began at FUTA, where he graduated in 2013 with a degree in Physics Electronics. His early exposure to programming and computational physics ignited his curiosity in technology, laying the foundation for his skills in software development. His professional experience as a software developer and DevOps engineer further honed his expertise, leading him to pursue a master's degree in Data Science at Cardiff Metropolitan University.

During his master's program, Ogedengbe identified significant transportation challenges in the UK, particularly in rural areas during weekends and bank holidays. Through extensive data gathering and rigorous analysis, he developed Gswift to provide alternative transportation options. The application utilizes real-time data and machine learning algorithms to optimize routes and schedules, ensuring reliable transport for residents in underserved areas.

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The implementation of Gswift has shown promising results, reducing isolation and improving accessibility for rural residents. By integrating AI for system optimization and predictive modeling, Gswift enhances service delivery and ensures that every sector of the community can access vital services without undue hardship.

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Ogedengbe's success with Gswift demonstrates the potential of data science to create impactful solutions and improve the quality of life for individuals in underserved areas. His journey from FUTA to Cardiff Metropolitan University highlights the importance of determination and resilience in achieving technological breakthroughs.

As Gswift prepares for wider deployment across the UK, Ogedengbe's story serves as an inspiration to students and aspiring technologists, encouraging them to persist in their pursuits and leverage their skills to address real-world challenges.