United Arab Emirates: Tech students showcase wearable devices for the deaf and blind – News
Each innovative research addresses critical real-life issues
An Artificial Intelligence (AI) powered wearable communication device for the deaf and blind and an advanced serverless chatbot system designed with natural language understanding capabilities to help patients locate hospitals with available beds. These were among the innovative research projects presented by students from the University of Abu Dhabi (ADU) at a recent virtual international conference.
The 7th Annual ArabWIC International Conference, held virtually by the University of Sharjah, aimed to highlight the contributions of Arab women in the field of computing and technology. Six teams of undergraduate and postgraduate students from the Department of Computer Science and Information Technology and the Department of Electrical, Computer and Biomedical Engineering of the ADU College of Engineering presented their projects and efforts. advanced research in AI and distributed systems.
The projects included “Jusoor: A Portable Communication Device for the Deaf and Blind” which was developed by students Fatima Abdelmagid, Hamda Fasla and Huda Khafaji. Jusoor is an AI-based system helping deaf and blind people have natural communication with their peers through instant conversations.
Another project – the UAE e-learning sentiment analysis framework – was developed by students Dana Wehbe, Hajer AlMaskari, Kholoud AlSeriedi and Ahmed AlHammadi. It provides real-time insight into the public’s emotions and opinions regarding the e-learning process in the UAE through sentiment analysis of social media content to help hold policy makers and regulators to account. education.
The third project, Covisstance Chatbot, developed by Farah Shaik and Arooba Khalid, is an advanced serverless chatbot system designed with natural language understanding capabilities to help patients locate hospitals with available beds and resources.
Students Rawan Elabyad, Nada Hussein, and Salma Abdelhalim have developed a serverless academic advisor chatbot that aims to ease the burden on academic advisers after Covid-19 by allowing students to learn about academic matters virtually via a powered virtual assistant by Microsoft Teams.
Each project addressed critical real-life issues through the use and implementation of advanced AI models and cutting-edge technologies such as serverless computing.
Other research papers
Maha Yaghi, MSc student in Electrical and Computer Engineering, also presented her research paper titled “Motion Tracked 3D Visualization System for Segmented ROI in Medical Imaging” at the meeting. His research proposes an analysis system making it possible to visualize the output of segmented anomalies in 3D within associated computer diagnostics.
Tasnim Basmaji, MSc student in Electrical and Computer Engineering, presented her research paper “Towards an Urgent and Rapid Deployment of the Contactless IoT Elevator Control Panel During Pandemics”. His study proposes a contactless elevator control system to reduce the risk of coronavirus transmission when using an elevator.
Commenting on student participation in the conference, Dr Hamdi Sheibani, Dean of the College of Engineering, said: “As a university that inspires creativity and encourages innovation, our students have produced ‘ready to go’ solutions. employment ”while employing advanced technologies.
“At the College of Engineering, we aim to foster a community of learners who are dedicated to solving some of the most complex engineering challenges.”