The increasing demand for automated processing of Yoruba names has led to a surge in research focused on developing algorithms and models for Yoruba name analysis. However, this research has overlooked critical blindspots that can significantly impact the accuracy and cultural sensitivity of these systems. The data were extracted from the five schools in The Federal polytechnic llaro which consist of the school of Management, the school of Engineering, the school of communication, the school of Environmental studies and school of pure and applied science respectively. This paper identifies and discusses these blindspots, highlighting their implications for the next generation of learners. It is argued that addressing these blindspots is crucial for developing inclusive and culturally responsive automated systems that cater to the needs of Yoruba language speakers,