Rupam.ai
NOT A MEDICAL DEVICE

Model accuracy, reported honestly.

Every skin-condition model behind Rupam.ai, listed with its real evaluated accuracy where an evaluation exists — and marked N/A where it doesn't, rather than left off the page or filled in with a guess.

Cosmetic use only

Rupam.ai is not yet validated or certified for medical, diagnostic, or clinical use. It is not a substitute for a dermatologist or any other medical professional. Results are intended for cosmetic and skincare guidance only.

16 conditions
Dark circles74.6%

balanced accuracy

Pigmentation63.5%

balanced accuracy

Moles89.5%

balanced accuracy

Oiliness57.5%

balanced accuracy

Wrinkles83.5%

balanced accuracy

Skin ageOff by ~5 years, on average

average error, not a guaranteed range

Acne83.2%

precision, IoU≥0.3

Pores27.1%

balanced accuracy

UNDER TRAINING
Skin type25.0%

balanced accuracy

UNDER TRAINING
Eye bagsUNDER TRAINING

No trained model yet — under training.

BlackheadsUNDER TRAINING

No trained model yet — under training.

RednessLOGIC-BASED

Pure logic-based calculation — no model used, so accuracy % doesn't apply.

TextureLOGIC-BASED

Pure logic-based calculation — no model used, so accuracy % doesn't apply.

HydrationLOGIC-BASED

Pure logic-based calculation — no model used, so accuracy % doesn't apply.

Skin glowLOGIC-BASED

Pure logic-based calculation — no model used, so accuracy % doesn't apply.

Fine linesLOGIC-BASED

Pure logic-based calculation — no model used, so accuracy % doesn't apply.