
Query your Apple Health data with natural language
HealthGPT is an open-source iOS app developed by the Stanford Biodesign Digital Health team that lets users interact with their Apple Health data using natural language. Built on the Stanford Spezi framework, it supports querying sleep, step count, active energy, exercise minutes, heart rate, and body mass through a conversational chat interface.
Ask questions about your health data in plain English and get contextual answers from your Apple Health records
Connects to Apple Health via SpeziHealthKit to access sleep, steps, active energy, exercise minutes, heart rate, and body mass data
Leverages OpenAI models through the SpeziLLM module for accurate natural language understanding and responses
Privacy-preserving option to run queries locally using Llama3 8B, with automated model download and storage during onboarding
Accessibility features powered by the SpeziChat module for voice-based interaction and spoken responses
Export your health conversations for record-keeping or sharing with healthcare providers
Built on Stanford Spezi open-source framework, making it easy for developers to customize and extend functionality
Ask natural language questions about your fitness trends, sleep patterns, and activity levels without manually reviewing charts
Discover correlations between different health metrics like sleep quality and exercise habits through conversational queries
Use voice commands and speech output to access health information, ideal for users with visual impairments or limited mobility
Leverage the open-source Spezi framework to build custom health AI applications on top of HealthGPT's architecture

The world's first AI super assistant for professionals and enterprises