Anamnesis.AI
An AI-driven anamnesis collection system in the healthcare domain
About
This project aims to develop a Minimum Viable Product (MVP) for an AI-driven anamnesis collection system in the healthcare domain. The system will leverage the capabilities of FHIR (Fast Healthcare Interoperability Resources), the ChatGPT API, Flask (a micro web framework written in Python), and SQLite (a lightweight database) to facilitate an interactive, user-friendly platform for collecting patient medical history (anamnesis) through conversational AI.
Our team
Saransh Chopra
Core Contributor
Devansh Parmar
Core Contributor
Francisco Palm
Core Contributor
Ivan Ogasawara
Admin
Ever Vino
Admin
Open Science ...
Admin
Mariangela Pe...
Core Contributor
Anavelyz
Core Contributor
Yurely Camacho
Admin
Gagandeep Singh
Core Contributor
Satarupa Deb
Core Contributor
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