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Alzheimer’s Disease and Related Dementias (ADRD) Detection Through Voice with Large Language Models (LLM)

Fermé
Contact principal
Kin-Keepers.com
Kin-Keepers.com
Glen Allen, Virginia, United States
Jose Ramos
Il
CEO
(4)
3
Projet
120 heures par Apprenant.e
Apprenant.e
N'importe où
Niveau Avancé

Portée du projet

Catégories
Intelligence artificielle Santé Analyse marketing Scientific research
Compétences
large language modeling python (programming language) research
Détails

The 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)


Livrables

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.


Mentorat

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.


À propos de l'Compagnie

Compagnie
https://kin-keepers.com/products-in-development-copy/
Glen Allen, Virginia, United States
2 - 10 employé.es
Hospital, health, wellness & medical, It & computing, Science, Technology

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.