🌿 DermaScan – Skin Disease Detection

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📋 Table of Contents

• About the Project
• Features
• Tech Stack
• Getting Started
• How to Use
• Screenshots
• Credits

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📖 About the Project

DermaScan is a Flask-based web app that detects skin diseases and classifies skin types using a deep learning model. Users can upload an image or use their webcam, and the system predicts the skin disease or type in real-time.

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🚀 Features

• 🧠 Deep Learning-based skin disease prediction
• 📷 Upload image or capture via webcam
• 📱 Fully responsive UI
• 📊 Dynamic result display with image preview
• 🌍 Google Maps embedded for contact location

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🔧 Tech Stack

• Frontend: HTML, CSS, JavaScript, Bootstrap
• Backend: Python, Flask
• ML/DL: TensorFlow, Keras, RestNet50

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🛠️ Getting Started

Clone the repository

git clone https://github.com/your-username/dermascan.git
cd dermascan

Install dependencies

pip install -r requirements.txt 

Run the app

python app.py

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📸 Screenshots

disease types

Prediction Page

result

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📁 Project Structure

dermascan/
│
├── static/
│   ├── style.css
│   ├── main.js
│   └── Images/
│
├── templates/
│   ├── index.html
│   ├── about.html
│   ├── contact.html
│   ├── prediction.html
│   └── disease.html
│
├
│── resnet50_model.h5
├── app.py
├── requirements.txt
└── README.md

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💡 How to Use

1. Open the app in browser.

2. Navigate to "Check My Skin Type".

3. Upload an image or use the Open Camera button.

4. Click Submit.

5. View prediction result in a modal popup.

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⭐ Credits

• ResNet50 via Keras

• Bootstrap 5

• Flask Web Framework

• Font Awesome

• Google Fonts

🚀 Live Demo

📍 Deployed on Render.com : https://dermascan-skin-disease-detection-using-dl.onrender.com/