Alzheimer’s Disease and Related Dementias (ADRD) Detection Through Voice with Large Language Models (LLM)
Project scope
Categories
Healthcare Marketing analytics Artificial intelligence Scientific researchSkills
large language modeling python (programming language) researchThe main goal of this project is to detect Alzheimer’s Disease and Related Dementias (ADRD) through voice using Large Language Models (LLM). This project has two components:
1. Research the existing online means for Cognitive Health detection, and write a competitive assessment report. (Non-technical)
2. Develop Python code for Amazon Echo (Alexa) to conduct the same online tests from step 1, this time via voice. (Technical)
In order to achieve the project goal, learners will need to complete the following tasks:
- Research existing online means for Cognitive Health detection and write a competitive assessment report.
- Develop Python code for Amazon Echo (Alexa) to conduct the same online tests from step 1, this time via voice.
- Test the developed code and make improvements based on additional data.
Kin-Keepers.com provides Machine Learning tutorials for talented individuals from anywhere around the world. See past events at https://kin-keepers.com/summer-internships/.
Selected individuals will be guided and trained to ensure success.
Each contributor will be assigned a one-on-one mentor. Furthermore, contributors will join meetings with team specialists from around the world.
About the company
Kin-Keeperes uses Generative AI to translate the utterances of people with Alzheimer's or other forms of Dementia (ADRD).
This project will create Lifestyle Choices for Elder-ChatGPT - a means to detect ongoing Cognitive Health for elders, using voice and Large Language Fondation Models. Lifestyle Choices classified as Sleep, Learning, Exercise, Diet, Stress, Socialization - are assessed against the Elder-ChatGPT Cognitive Health scoring tool.
The project will train talented individuals, wishing to enter the AI field.