Bian Lee, Andrew Kuang, Ritvik Irigireddy, Keenan Kalra
esai parses through the entire DSM-5 with semantic search. A user can roughly describe how they're feeling - such as "I'm just not having a great day", and esai will source both the name of any applicable mental disorders and the DSM-5 reference material, along with diagnostic attributes.
For physicians, esai will show applicable analytical information about patients - giving it a wide variety of use cases from being a personal mental health aid to an enterprise tool for professionals.
esai uses OpenAI's embedding engines, GPT-3.5 Turbo, Pinecone, and Langchain, built on Next.js + Typescript + MongoDB Atlas, and hosted serverless on Vercel. Beautifulsoup, Matplotlib, Jupyter were used for data scraping and analysis.