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In today’s fast paced and stress-inducing environment, the importance of cultivating mental and emotional well-being cannot be overstated. According to the National Institute of Mental Health, nearly one-third of all Americans experience some form of anxiety disorder in their lives, and there is a need in today’s society to help those that struggle with their emotions. Our personalized meditation device aims to harness the body’s bio-data to predict the user’s emotional state, and to provide the user with a meditation session that will help them overcome their negative emotions. Initially, to configure the device, when a user feels a strong emotion such as fear, anxiety or stress, we will prompt the user to enter their emotion, and read their bio-data that corresponds to their emotion. After several iterations of this, we will create a machine learning model that will learn what bio-data corresponds to what emotion, which will enable the device to predict a user’s emotion in the future. Based on the device’s emotional prediction, our user interface (app) will output a meditation session specific to helping that emotion. Some examples of these sessions are box breathing, body scan, and 4-7-8 breathing, each of which are designed specifically to help with a certain emotion.


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