Product process
How MyZenCheck Works
The product turns a photograph into an educational description of visible features. It does not examine the body, run laboratory tests, or determine why a feature is present.
1. Capture
The browser captures a tongue photo. Neutral lighting, focus, and avoiding colored foods improve visual consistency.
2. Quality check
Image bytes are sent over HTTPS to a model that checks whether a usable tongue image is present.
3. Secure upload
An accepted image is uploaded through a time-limited write URL to Azure Blob Storage.
4. Feature analysis
6 additional computer-vision components describe visible image characteristics. Component confidence is not diagnostic probability.
5. Educational synthesis
Software combines model tags into an explanation using TCM pattern vocabulary and safety boundaries.
6. Result and cleanup
The result is returned to the browser and its history stays browser-side. The API then requests deletion of the submitted blob; failures are logged rather than hidden.
Accuracy and evidence
MyZenCheck has not published an independently reviewed clinical-validation protocol or sufficient public data to support a diagnostic-accuracy claim.
Methodology and publication gatePhoto privacy
A submitted photo is sent over HTTPS, uploaded to Azure Blob Storage, and passed to Azure-hosted analysis services. The API attempts to delete that blob automatically when the analysis request finishes, including failed analyses; cleanup failures are logged, so no absolute deletion guarantee is made. Result history is stored in the browser.
Full privacy policyBefore you start
- Do not use the output to diagnose or rule out a condition.
- Do not start or stop an herb, supplement, medicine, or therapy based on it.
- Seek qualified care for persistent, worsening, or concerning symptoms.