CRUNCHQUEST: SMART PERSONALIZED SERVICE APP FOR CONNECTING STUDENT

Abstract

This project develops a machine learning-based service and quest application, CrunchQuest, that enables users to create and complete quests in real-time. Users can create a request, while others can discover, join, and complete quests based on their interests and skills. Quests are categorized and prioritized based on user performance. Testing is carried out to ensure a user-friendly interface, real-time response, and an effective location system. Evaluation includes compatibility with TensorFlow Lite, and internet connectivity. The results show that CrunchQuest works well across a wide range of devices and network conditions, providing a consistent and responsive user experience. This project is expected to enhance community engagement, personal development, and service provision through a dynamic and interactive platform. CrunchQuest can serve as a model for other gamified service and quest applications.