Course Description

Course Information

Project Title Abstract Prototype
Design of a mHealth App for Gestational Diabetes Mellitus Management and Education in Bangladeshi Women Gestational Diabetes Mellitus (GDM) is a type of diabetes that a woman may experience during their pregnancy period. According to the World Health Organization (WHO), one out of ten pregnant women around the world tend to have GDM and may have a risk to both mother and child of having type two diabetes. Studies reported that around 35% of Bangladeshi women have GDM. For most of the women in Bangladesh GDM is unknown and its education is essential for the women who are pregnant or planning for pregnancy. Although there are some apps available online, due to language barriers it is not in the limelight, so we have designed an app which not only eliminates the language barrier but also manages and educates the women for pre and post-pregnancy GDM-related problems. Our app has features of keeping track and control of food intake, water intake, physical activity, reminder, GDM education, chat forum in social community, game. The features in the tool are HCI based which are known by usability testing, it will help pregnant women with GDM to keep a track of their health and blood glucose level and improve their lifestyle in a better way.
 Stress Management mHealth Application for Healthcare Professionals in Bangladesh Stress Management mHealth Application for Healthcare Professionals in Bangladesh This study explores the development of a usercentered mobile health (mHealth) application aimed at managing stress among healthcare professionals in Bangladesh. The objective of this study was to identify key stressors, coping strategies, challenges during managing stress, the role of technology, and users’ requirements through the survey. Then, based on the findings of the survey we conceptualized an mHealth app that addresses these challenges and help professionals to manage their stress at work. The method includes designing and disseminating a questionnaire, analyzing the data to inform the application’s features, and creating a high-fidelity prototype. The results show that high workload, patient and family pressure, and staffing shortages are major stressors while social support, taking short breaks, and time management are some of the effective strategies for coping with stress. On the other hand, participants demanded for features like guided sessions for meditation, personalized stress management plans, real-time health tracking and expressed willingness to use a smartwatch-based mHealth real-time stress monitoring app. Evaluation of the prototype demonstrated its potential effectiveness in stress management. The study concludes that such an mHealth application could significantly aid healthcare professionals in stress mitigation. We plan to improve the app further based on user feedback.
Smart Emergency Healthcare Service System Based on IOT and AI – A Model based Framework This work presents StaySafeAI, an advanced Android application designed to enhance emergency healthcare through the integration of the Internet of Things (IoT) and Artificial Intelligence (AI). Addressing the increasing demand for home-based healthcare and the challenges faced by an aging population, StaySafeAI offers a novel approach to patient monitoring. The app leverages IoT devices like smartbands to monitor vital health parameters such as heart rate, blood pressure, and SpO2 in real time, enabling swift detection and response to health emergencies. The development of StaySafeAI involved an extensive literature review, analyzing existing IoT applications in healthcare. A detailed survey with 107 participants was conducted to understand user adaptation to smartbands, common diseases among the elderly, and challenges in emergency healthcare. The application was developed using the Rapid Iterative Testing and Evaluation (RITE) method, employing Flutter for cross-platform functionality. Google Fit and AI tools were integrated for efficient data collection and analysis. The app’s usability was tested extensively among diverse user groups to ensure reliability and ease of use. StaySafeAI demonstrated significant potential as an emergency healthcare tool. It successfully detected abnormal health patterns, automatically shared the patient’s location, and alerted emergency contacts, ensuring a rapid medical response. The usability tests yielded positive results, confirming the app’s effectiveness, ease of use, and user satisfaction. Despite limitations in expert feedback due to external factors, StaySafeAI’s positive reception by users underscores its potential impact in transforming emergency healthcare through smart technology integration.
 A Comprehensive Analysis on Nutritional Awareness in Bangladesh and a Proposal of a Mobile Application for Better Health Choices Eating healthy is important, but it is not enough. It is also important to consume the necessary nutrients that our body needs. Nutrients are essential for growth, repair, and the proper functioning of all bodily systems. In this study we conduct a survey to understand the views and practices among Bangladeshis. Understanding the user needs and mobile app benefits we are proposing a simple solution for the people of Bangladesh. Just simply providing physiological information allows users to know their nutritional needs and make grocery choices accordingly. Among 72 participants 75% wanted this kind of solution and among 10 testers all of them liked using our system.
ShoroSonket: A Vision Transformer based Bengali Sign Language Interpreter Effective communication is a fundamental human right, yet hearing-impaired individuals often face significant challenges in their interactions with the non-sign language using population. In this context, we present a novel web app that leverages state-of-the-art machine learning techniques to interpret Bengali sign language gestures into text, bridging the communication gap between sign language users and non-sign language users. Our approach employs a Vision Transformer (ViT) model, trained on a comprehensive dataset, to accurately capture the spatial and temporal intricacies of sign language gestures. The model achieves an impressive accuracy of 97.41%, with high precision, recall, and F1-Score, making it proficient in real-time sign language interpretation. The web app’s usability was validated through extensive testing, resulting in an average System Usability Scale (SUS) score of 82.5, signifying strong user satisfaction and ease of use. Participants praised its user friendliness, ease of learning, and integration of functions. This initiative not only improves communication for the hearing impaired but also promotes accessibility and inclusivity in society. In future work, we aim to expand our model’s capabilities to encompass various sign language dialects. Our project exemplifies the potential of technology to empower and enrich the lives of individuals with hearing impairments by providing them with a powerful tool for effective communication. 
 ShashthyoShongi: Healthcare Assistance with Emergency Services for Bangladehsi Citizens This study explores the entire process of creating, assessing, and analyzing the “Shashthyoshongi” healthcare app, including user experience, usability, and correlation analyses. The study employs usability testing scales like SUS, MAUQ and UEQ to give a better understanding of user experience. The methods measure user happiness, app reliability, and preferences using established scales, statistical methods, and online questionnaires. Features that are focused on the user, such as tracking health information, emergency services, and appointment scheduling, are demonstrated in the prototype. Usability evaluations highlight areas of strength and improvement. The result of the study gives positive feedback on user experience. The study ends with flexible suggestions for improving the app and considering possible effects in medical emergencies. Index Terms—Healthcare, Emergency, Services,
 Design Validation of a Complete Dengue Assistance Web App in Bangla In recent times, dengue fever has become a significant public health concern in Bangladesh and is causing a substantial burden on healthcare systems and society. Our project aims to create a user-centered virtual conversational Agent-Based dengue dashboard, helping users in Bangladesh access accurate information, symptom tracking, and guidance during dengue outbreaks. Our main objective is to create a user-friendly virtual platform with an AI-driven chatbot to help educate and guide dengue patients and caregivers in Bangladesh. We also need to design the platform with a focus on the user’s needs to make it effective and easy to use, and we also need to continuously gather user feedback and make improvements to the system through iterative evaluations. The user-centered approach being used in this project is intended to solve the dengue problem in Dhaka. User personas facilitate the development of chatbot interfaces and virtual dashboards by integrating a range of viewpoints obtained from focus groups, interviews, and surveys. An effective and culturally appropriate set of tools is the goal of the iterative design process, which is guided by user input and health data. Encouraging preventive and health monitoring, the chatbot uses strong natural language processing (NLP) technology to deliver individualized information and help. Tests conducted in the actual world will be used to gauge the project’s efficacy and cultural fit. The project’s objective is to empower people in Bangladesh to prevent dengue by working together with stakeholders and adhering to ethical principles such as user data privacy and accessibility
Maternity and Infant Care Application with Language Flexibility for Bangladeshi Mothers With the advancement of technology, there is a growing need for accessible and user-friendly applications that can provide antenatal and postpartum care guidance. However, many existing solutions are costly and lack the feasibility of receiving care when needed. To address these challenges, we have developed “GorbhoKotha” a mobile application prototype designed to provide accurate and reliable information during pregnancy and infant care in Bangladesh. The application features include a chatbot capable of responding to users’ inquiries, along with carefully selected articles on maintaining good health during pregnancy and caring for newborns. The application also includes functionalities such as searching for nearby pharmacies and hospitals, managing symptoms and diseases, and emergency management for children. To guarantee the usability and inclusivity of our application, we have included concepts of Human-Computer Interaction (HCI) in our design process. Our application takes a human-centered approach, prioritizing the needs and preferences of our users to create a solution that is both effective and accessible.