Inspiration

This project is inspired by neurodivergent children and adults in our family and friends circle.

What it does

In neurodivergent health, there are several benchmark assessments used by psychologists and behavioral health practitioners. Our goal is to convert these assessments into Large Language Models (LLM). We also wish to create Machine Learning algorithm to assist with the diagnosis of neurodivergent conditions like Autism Spectrum Disorder (ASD), Attention Deficit Hyperactivity Disorder (ADHD), Tourette Syndrome (TS) by analyzing speech and vocalization patterns.

How we built it

We are in the process of releasing the MVP soon. There are two components of this MVP: One is the speech and vocalization pattern recognition. The second one is converting a benchmark assessment

Challenges we ran into

Capital requirement to fine-tune LLM.

Accomplishments that we're proud of

Identified the ability to automate benchmark assessments. No one is doing this yet. In fact, the AI community is focused on neurotypical health and we are the first ones to think about automating manual workflows using Agentic AI.

What we learned

Knowledge base and treatment of neurodivergent conditions have not been converted into LLMs by anyone; We are the first to take this on.

What's next for NeuraNest AI

Release the LLM into the public domain, so this can benefit individuals with neurodivergent conditions and also assist providers expedite their workflows. We would also like to explore sponsors and investors.

Built With

  • agents
  • llm
  • prompts
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