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AI/ML

SkinSenseAI

Spotting skin conditions from a photo.

role
AI Engineer
timeline
Aug 2024 — Sep 2024
stack
  • Python
  • Flask
  • Flutter
context
AI-NOVAC national competition
award
3rd Place — AI-NOVAC 2024, among 20+ teams

Overview

A YOLO model trained to detect skin conditions from user-uploaded images, serving as the AI backend for a healthcare diagnostic mobile app. A Flask REST API handles the image uploads and returns diagnosis results to a Flutter client.

Key features

  • Trained a YOLO model to detect skin conditions from user-uploaded images.
  • Built a Flask REST API handling image uploads and returning diagnosis results to a Flutter client.

Results & impact

  • Awarded 3rd place nationally at AI-NOVAC, among more than 20 teams.

// results

Model & system results

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Inside the project