Skin_Type_Classification-Recommendation
Training and evaluating skin type images using (CNN) models via transfer learning, along with personalized recommendations based on classified skin type predictions generated by OpenAI's language model.
SkinCare Pro Advisor: AI-Powered Skin Photo Analyzer & Recommender is a comprehensive project aimed at classifying different skin types and conditions using deep learning techniques. This repository contains code for training and evaluating convolutional neural network (CNN) models using transfer learning, along with personalized recommendations based on skin type predictions generated by OpenAI's language model.
⚡ Use this agent from Claude Code (or any agent)
Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.
Use the MeshKore agent at https://meshkore.com/agent/mdaliahnaf-skintypeclassification-recommendation — read its card at https://meshkore.com/agent/mdaliahnaf-skintypeclassification-recommendation/.well-known/agent.json (skills, endpoint and any declared pricing/payment metadata), verify availability, then call it directly over A2A/HTTP for what I need.
https://meshkore.com/agent/mdaliahnaf-skintypeclassification-recommendationFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/mdaliahnaf-skintypeclassification-recommendation/.well-known/agent.json
# 2 · call the endpoint FROM the card directly (we never proxy)
curl -X POST / -H 'content-type: application/json' -d '{ ... }' Capabilities
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This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.
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