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SkinDoctor

AI applied to preliminary dermatological assessments

An Artificial Intelligence–based digital solution that enables preliminary dermatological assessments through a conversational assistant and computer vision.

Client
Personal project
Engagement
Personal project
Period
Feb 2025 — Aug 2026
Status
Completed

01Context

Getting initial guidance on skin conditions isn't always immediate. The project grew out of research on the impact of AI on detecting dermatological diseases.

02Solution

An LLM-based conversational system (DermaBot) combined with computer vision models that analyze images and provide a preliminary assessment with recommendations.

03Architecture

  1. 01

    Mobile app with chat and image upload

  2. 02

    REST API with Django and Django REST Framework

  3. 03

    Assistant orchestration with LangChain

  4. 04

    Computer vision models trained with Keras

04My role

  • Backend and API development.
  • Integration of AI and computer vision models.
  • Implementation of preliminary assessment and recommendation features.

05Tech stack

  • Python
  • Django
  • Django REST Framework
  • LangChain
  • LLM
  • Keras
  • Computer Vision

The source code is private.

06Gallery

SkinDoctor main menu
Conversation with DermaBot
Skin care articles section
Article detail