In a world where mental health support is smore crucial than ever, Our Ai chatbot for mental support is a compassionate ear and a helping hand designed to provide a safe and non-judgmental space. This AI chatbot mobile application system has been incorporated with natural language processors (NLP) that recognize speeches and enabling voice-controlled interfaces and also translates language especially Ghanaian spoken languages for example Guane, twi, Dagomba,Ga,Ewe, Ga, Ewe, and Fante. With personalized support and coping strategies, tracking users’ moods and providing resources for users. Our chatbot aims to bridge the gap in the mental health support.
Research Area
Mobile App Development: Mobile App Development research in Computer Science and Information Technology focuses on the design, development, and optimization of software applications for mobile devices such as smartphones and tablets. This area covers a wide range of topics, including user interface design, cross-platform development, mobile operating systems, performance optimization, and security.
One key aspect of research in this area is the development of efficient algorithms and frameworks that enable seamless cross-platform compatibility. Researchers explore ways to create apps that function smoothly on multiple operating systems, such as Android and iOS, using a single codebase, reducing development time and costs. This is often achieved through the use of frameworks like React Native, Flutter, and Xamarin.
User experience (UX) and user interface (UI) design are critical components of mobile app development research. Scholars in this field investigate how to create intuitive, responsive, and engaging interfaces that improve usability and enhance the overall user experience. This includes studying interaction patterns, accessibility, and how users interact with mobile apps across different devices and environments.
Project Main Objective
The main objective is to create and deploy a mobile application AI chatbot for mental support
Academic Year
2024/2025
Date Uploaded
Oct 12, 2025
Group Members
DANUOR MARY MAGDELINE, GYAMFI ANDREW, SHOBOWALE GRACE ADETUTU, ATAKORA ISAAC KWABENA, BOAKYE YIADOM KWABENA DWOMOH