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.
