Lilian Ama Owusu-Ansah, a Class of 2024 Computer Science graduate, developed EmotionAlly, a personalized tool designed to help individuals confront and manage social anxiety. For Lilian, this project was deeply personal, inspired by her own experiences of struggling with social anxiety. EmotionAlly became a platform through which she could not only address her challenges but...Read More

Patrick Olatokunbo Badmus, a Class of 2024 Computer Science graduate, has developed an innovative project called EchoVision, an AI-powered system designed to assist individuals with visual impairments by converting their surroundings into meaningful auditory experiences. Patrick’s motivation stemmed from his desire to harness technology for social good. EchoVision was conceived to enable people with visual...Read More

Hussein-Al-Sayyed, a Class of 2024 Computer Science graduate from LUG, developed a gesture-controlled robotic car called Swipe to Drive. This innovative project aims to enhance mobility and independence for individuals with disabilities by harnessing gesture recognition technology. Hussein shared his experience: “My final-year project was both challenging and rewarding. I tackled hardware and software elements...Read More