FocusBuddy: Design and Development of an AI-Powered Mobile Application for Enhancing Student Focus, Productivity and Academic Support | IJCT Volume 13 – Issue 3 | IJCT-V13I3P119

This paper presented the design, development, and evaluation of FocusBuddy, an AI-powered mobile application aimed at enhancing student focus, productivity, and academic support. The application successfully integrates a Pomodoro timer, task management system, daily motivational quotes, and an intelligent AI Study Assistant powered by OpenAI into a single platform. The use of Caffeine.ai enabled rapid development, while the integration of the OpenAI API provided meaningful academic assistance to users. The implementation of guest mode addressed the issue of onboarding friction commonly found in productiv-ity applications. A user study with 20 participants demonstrated that FocusBuddy was well-received, with 60% of users reporting improved focus and study habits. FocusBuddy contributes to the field of educational technology by offering a practical, all-in-one solution tailored specifically for students. The positive feedback on the AI assistant highlights the growing potential of integrating conversational AI into productivity tools. However, the current version has certain limitations, including a relatively basic task management interface and limited personalization options. Future work will focus on enhancing the task management module, adding more advanced AI features such as personalized study plans, and conducting a larger-scale evaluation with diverse user groups. Additionally, expanding the application to iOS and web platforms with synchronized data across devices is planned. Overall, FocusBuddy demonstrates a promising approach to supporting students in their academic journey by combining productivity techniques with intelligent assistance in an accessible and user-friendly manner.