FaceFuel
16 nutritional deficiencies detected from a selfie.
2 followers
16 nutritional deficiencies detected from a selfie.
2 followers
FaceFuel analyzes your face, eyes, and tongue simultaneously to estimate 16 nutritional and lifestyle deficiency probabilities - iron, B12, vitamin D, cholesterol imbalance, liver stress, and more. Built on YOLO11m + DINOv2 + Bayesian inference. 235ms full analysis. Backed by 3 peer-reviewed research papers with Zenodo DOIs. No blood tests, clinic visits. Commercial licensing available. Contact mojuaries111@gmail.com for pricing and demo.
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Hi Product Hunt! I'm Abdul Moiz, an independent AI researcher from Pakistan.
FaceFuel analyzes face skin, eyes, and tongue from a selfie to estimate 16 nutritional deficiency probabilities - iron, B12, cholesterol, liver stress, and more. No blood tests needed.
Built on YOLO11m + DINOv2 + Bayesian inference. Backed by 3 peer-reviewed papers on Zenodo.
The complete IP is available for commercial licensing - source code, trained models, research papers, full pipeline. Ideal for supplement brands, telehealth platforms, or wellness apps.
Asking $45,000-100,000 outright or $20,000 + $0.10/scan royalty.
Interested? → mojuaries111@gmail.com
Happy to answer any technical questions below!