WellnessWhisper
An LLM-powered health insights web app that transforms your Apple Health data into actionable insights through natural language queries.
Key Features
Automated Data Pipeline
Seamless integration with Apple Health, automatically syncing your data to BigQuery.
Natural Language Queries
Ask questions about your health data in plain English, no SQL knowledge required.
Auto Text to SQL
Advanced LLM technology converts your natural language questions into precise SQL queries.
Interactive Visualizations
Dynamic charts and graphs that help you understand your health trends.
How It Works
Step 1: Sync Apple Health Data
Upload your Apple Health data to BigQuery for secure and structured storage.
Step 2: Ask Questions
Use the app's intuitive interface to ask health-related questions, such as "What's my average sleep duration last month?" or "How many calories did I burn this week?"
Step 3: LLM-Driven SQL Queries
The app uses LLM to transform your natural language queries into SQL, fetching the relevant data from BigQuery.
Step 4: View Insights
Visualize the results through interactive charts, helping you identify trends and insights in your health data.
Technologies Used
April 18, 2025
Building a Cloud-Based Data Pipeline: From Apple Health to BigQuery
Learn how I built the automated data pipeline that powers WellnessWhisper.
January 24, 2025
Build an Agent for Data Visualisation: Plotly.js + Gemini
Discover how WellnessWhisper generates interactive visualizations using LLMs.
Screenshots & Demo
Coming Soon
We're currently working on the frontend interface. Check back soon for interactive demos and screenshots!