SkinScan AI

SkinScan AI is a revolutionary telemedicine platform that leverages Artificial Intelligence (AI) to provide instant skin condition diagnoses and personalized treatment recommendations. Users can upload images of their skin concerns, and our AI-powered system will analyze the images, and provide diagnosis, treatment options, and connect them with a board-certified dermatologist for further consultation.

Features

Multimodal Analysis: Automatically identifies and categorizes skin conditions based on uploaded images or videos.
Feature Extraction: Extracts features and patterns from dermatological images for detailed analysis.
Diagnostic Support Decision Support System: Provides diagnostic recommendations and differential diagnoses based on input images.
Second Opinion Tool: Offers a second opinion by comparing input images with a database of similar cases.
Integration API Integration: Allows seamless integration with existing healthcare systems or research platforms via API.
Web Interface: User-friendly web interface for easy access and interaction.
Doctor Search and Appointments: Calls APIs to retrieve information about Doctors and their contact details.

How It Works

Text Messaging: Users can directly chat with an AI doctor through text messaging.
Upload: Users can upload images or videos of their skin condition via the platform.
AI Analysis: The Gemini API processes the uploaded media to diagnose the condition.
Diagnosis & Recommendations: Users receive a detailed diagnosis and personalized treatment recommendations.
Consultation Option: If further consultation is needed, users can easily connect with a healthcare professional.

Getting Started

To start using the platform, follow these steps:

# Cloning the repository
git clone https://github.com/Zhongheng-Cheng/SkinScan
cd SkinScan

# [Optional] Creating virtual environment
python -m venv venv
source venv/bin/activate

# Download dependencies
pip install -r requirements.txt

# Setup Gemini API key
touch .env
# Enter your Google Gemini API Key in ".env" like this:
# GOOGLE_API_KEY="..."

# Run the project
python app.py

Demonstration Video

Here is a link to the demonstration video with voice explanation:

SkinScan AI demo video - Google Drive