Reflection

Overall, the project successfully achieved its aspirations, but there is always room for growth and improvement in future iterations. We view the CoinMind project as a successful exploration of how traditional wisdom and modern technology can be combined to create an engaging and interactive experience for users. The use of machine learning to predict the results of coin-tossing divination rituals and the incorporation of principles of design and user experience in the physical design of the device make it a unique and innovative project. 

However, there is room for improvement. For example, in terms of sustainability, we may consider using recycled materials in the fabrication of the device. Also, to improve data accuracy in the CoinMind project, more diverse sound data of the coin falling onto different surfaces could be collected and used to train the machine learning model in Edge Impulse. Additionally, more precise data labeling and the use of data augmentation techniques could be explored. Furthermore, we may dig into conducting further research to explore the ethical implications of using machine learning in divination practices and the potential cultural appropriation of traditional divination systems.