Facial Mapping
Captures facial features using high-resolution imaging or smartphone cameras.
Face Nadi
AI-Powered Face Nadi Analysis
AI Face Nadi Analysis is an advanced, non-invasive diagnostic approach inspired by the ancient Ayurvedic technique of Nadi Pariksha (pulse diagnosis). This system leverages artificial intelligence, facial recognition, and machine learning to assess an individual’s Prakriti (body constitution) and Vikriti (imbalances) by analyzing microexpressions, facial structure, skin tone, texture, and other subtle bio-signals visible on the face.
Technology Integration
Algorithmic Assessment
AI algorithms analyze features related to the three doshas—Vata, Pitta, and Kapha—based on training datasets linked to Ayurvedic parameters.
Nadi Simulation
While there is no physical pulse reading, the system estimates Nadi Gati, Vega, Bala, and other pulse characteristics using facial indicators associated with metabolic speed, stress markers, and vascular changes.
Parameters Analyzed
Vega (Rate)
Estimated from blood flow signals in the facial skin (using optical sensors or image color analysis).
Tapamana
(Temperature)
Indirectly gauged through infrared analysis or visual signs of heat/cold (e.g., skin flushing).
Kathinya (Consistency)
Mapped through skin firmness and tightness related to muscle and fat distribution.
Soupherb integrates this AI tool to:
Analyze clients’ physical and emotional states in real time.
Soupherb integrates this AI tool to:
Suggest personalized soups that help balance specific dosha imbalances.
Soupherb integrates this AI tool to:
Track progress and health changes with repeated scans.
Soupherb integrates this AI tool to:
Offer accessible and scalable diagnosis without needing a practitioner physically present.
Benefits
Quick & Accurate Screening
Personalized Wellness Plans
Bridges Traditional Wisdom with Modern Innovation
