The purpose of this project is to create a useful tool for musicians that utilizes the harmonic content of their playing to recommend new, relevant chords to play. This is done by training various Long Short-Term Memory (LSTM) Recurrent Neural Networks (RNNs) on the lead sheets of 100 different jazz standards. A total of 200 unique datasets were produced and tested, resulting in the prediction of nearly 51 million chords. A note-prediction accuracy of 82.1% and a chord-prediction accuracy of 34.5% were achieved across all datasets. Methods of data representation that were rooted in valid music theory frameworks were found to increase the efficacy of harmonic prediction by up to 6%. Optimal LSTM input sizes were also determined for each method of data representation.

Carbohydrate counting has been shown to improve HbA1c levels for people with diabetes. However, the learning curve and inconvenience of carbohydrate counting make it difficult for patients to adhere to it. A deep learning model is proposed to identify food from an image, where it can help the user manage their carbohydrate counting. This early model has a 68.3% accuracy of identifying 101 different food classes. A more refined model in future work could be deployed into a mobile application to identify food the user is about to consume and log it for easier carbohydrate counting.

Teaching is a challenging career that carries various challenges, some of which go beyond the educator’s control and influence their ability to teach. Through the Arizona State University (ASU) Barrett's Honors College, seminars and discussions centered in collaboration and learning, resulted in student's introduction to ideas of what it means to “truly” teach from both a student and educator perspective. Teaching is more than an exchange of information as it requires a human connection. While most educators agree that connection is vital, there are still challenges in the classroom that generationally impact families. Daoism, an ancient Chinese philosophy, discusses concepts such as mindfulness, leadership, and introspection. Educators can use Daoist philosophy as a tool to reflect on and develop their ability to teach with vulnerability, openness, and interconnectedness. From a philosophical standpoint, Lao Tzu (Daoist leader) explains the importance of shifting perspectives to what the individual can control: themselves. Teachers must create a classroom dynamic that is not only engaging but also provides students a sense of autonomy over their education. Shifting the dynamic from teacher centered to student centered places the education in the students’ hands and alleviates some pressure from the teacher. Embedding Daoist philosophy into the classroom can be seamless as it can already be seen through Social Emotional Learning, Culturally Relevant Curriculum, and Deep Learning.