A self-hosted backend system for tracking eczema episodes.

Mechanistic Bayesian Machine Learning model of eczema dynamic

R package providing models to serve as building blocks for predicting eczema severity

A Multi-Platform support app for Eczema. Useful for shopping to quickly check what is and is not beneficial for this condition.

Quantifying imperfect recall in the POEM score

Food and routine online manual for children with allergies and eczema. View the live website here

Inter-rater reliability analysis of eczema segmentation in digital images

Systematic characterization of data-driven research on eczema and atopic dermatitis.

Predicting PO-SCORAD severity score for eczema using EczemaPred

Predicting eczema severity with biomarkers using a Bayesian state-space model

DermaCare_AI is a research-backed dermatology intelligence and educational platform. Built on evidence-based dermatology literature and clinical guidance, it provides skin condition information, skincare assessments, treatment references, emergency recognition tools, and printable reports with privacy-first local processing.

Relationship and probabilistic stratification of EASI and oSCORAD severity scores for atopic dermatitis

Eczema severity classifier, FastAPI backend, CNN + MobileNetV2 models, Grad-CAM explainability.

Prototype notebook that classifies skincare formulas as humectant, emollient, occlusive, or blends—helping sensitive-skin users see past marketing claims.

Personalised eczema treatment recommendations

AI-powered prototype that recognizes skincare products in real time, classifies formulas by function, and aligns them with personal skin needs—bridging science, design, and everyday experience.

I created CNN model for classifying easily people with eczema(skin disease). I collected training data from google search and train my model with this images.