DermaScan — Skin Type Recognition System

Senior Research Project

A professional dual-method skin type analyzer combining:

• Questionnaire Method — 8 dermatologist-validated questions
• Image Analysis — Rule-based computer vision
• Comparison Tab — Side-by-side result comparison

Skin Types Detected

• 💧 Dry
• ✨ Normal
• 💫 Oily
• ⚡ Combination

Project Structure

skin_analyzer/
├── app.py                  ← Flask backend
├── requirements.txt        ← Python dependencies
├── templates/
│   └── index.html          ← Main webpage
└── static/
    ├── css/style.css        ← Styling
    └── js/main.js           ← Frontend logic

How to Run Locally

# 1. Install dependencies
pip install -r requirements.txt

# 2. Run the app
python app.py

# 3. Open browser at
http://localhost:5000

How to Deploy on Render (Free)

1. Push this folder to GitHub
2. Go to render.com → New Web Service
3. Connect your GitHub repo
4. Set Start Command: python app.py
5. Deploy — get a free public URL

How to Deploy on Railway (Free)

1. Push to GitHub
2. Go to railway.app → New Project
3. Deploy from GitHub repo
4. Automatic deployment

Technologies Used

• Backend: Python, Flask
• Computer Vision: OpenCV
• Frontend: HTML5, CSS3, Vanilla JavaScript
• Fonts: Playfair Display, DM Sans