BP SnapTrack
Published Link(s)
https://studio--studio-7161477284-d9175.us-central1.hosted.app/
The Elevator Pitch
An intuitive app to effortlessly snap, track, and understand your blood pressure for a healthier life.
## A Cool Feature
One of the standout features is **AI-Powered Reading Capture**. Instead of manually typing in their numbers, users can simply take a photo of their blood pressure monitor’s display. The app uses a multimodal Genkit AI flow to analyze the image, instantly extract the systolic, diastolic, and pulse values, and pre-fill them into the logging form. This makes tracking readings faster, reduces manual entry errors, and creates a seamless user experience.
## Key Features
* **Effortless Data Entry**: Use your camera to instantly capture readings from your BP monitor or log medication details from a prescription bottle, minimizing manual typing.
* **Smart AI Analysis**: Get personalized, easy-to-understand insights on your readings. Choose a feedback style (caring, factual, expert, or even grumpy!) that works for you. The AI analysis is cached and only re-runs when your data changes.
* **Medication Tracking**: Log your medications and link them to your BP readings to see how they might be influencing your numbers over time.
* **Customizable Reminders**: Set up daily, weekly, or custom reminders to help you remember to take your readings consistently.
* **Comprehensive History & Export**: View your complete reading history in a detailed table and interactive charts. Export your data as a professional PDF, CSV, or JSON file to easily share and discuss with your doctor.
* **Awards & Motivation**: Stay motivated with a fun badge and awards system that celebrates your progress and consistency.
## About This App
This is a [Firebase Studio]( Firebase Studio ) project. It is a Next.js web application that uses Firebase for the backend, including Firestore for data storage and Firebase Authentication for user management. The UI is built with ShadCN components and Tailwind CSS. The AI features are powered by Google’s Gemini models through Genkit.