Go Health

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Introduction

Generative Pre-training Transformers (GPT) are a new type of AI that is rapidly gaining popularity and importance in multiple fields of research. One such example is the growth of applicability and frequency of use of GPT technologies in healthcare settings. Generative AI and the technology "ChatGPT" by OpenAI is used as a reference to create a user-orientated Taxonomy for classifying previous Generative AI usage in the medical literature in terms of application-oriented and user-oriented approaches. Although medical education has seen a great deal of attention in terms of "medical examinations", "student self-study", and composition of "medical questions", little has been pursued in the perspective of improving the health education from the patients perspective, nor has any work been shown in the literature for medical monitoring. Given that ChatGPT and other generative AI can.

What it does

Real time health monitoring and alerting. Offloading of commands for reducing computational load Usage of Generative AI to provide insights to health

How we built it

The model design starts at the IoT device that mocks a wearable medical device. Due to financial constraints the most feasible materials to mock wearable medical bracelets that can track medical details such as heart rate, blood oxygenation levels, and body temperature would be customize made IoT devices provided. A MOKA device can be seen which has switches, diodes, and regulator knobs for emulating a medical wearable tracking device.

Outlined further in the following pdf doc on github: https://github.com/NGaikwad99/go-health/blob/main/src/documentation/6709FinalReport.pdf

Challenges we ran into

We had some trouble connecting Monogramming with the api for the hivemq. Receiving and decoding the response from Ollama. Getting data in the app from the MQTT server.

Accomplishments that we're proud of

The app works fairly well. Minimum functionalities can be demoed.

What we learned

Most of the implementation process had us learning as we go. Full stack development was new to us and learning how to integrate an iot device to communication with an app was fun.

What's next for Go Health

Medicine recommendation Monitoring Elderly Keeping track of regular checkup dates Reminding upcoming appointments/activities Enhancing UI to be more user-friendly Adding on-board memory for unsuccessful transmission to cloud