Medilab-plus

Overview

Medilab-plus is a web application that uses machine learning to diagnose skin diseases from uploaded images. The application can currently classify three types of skin conditions:

• Acne Vulgaris
• Atopic Dermatitis
• Scabies

Features

• Real-time skin disease classification from uploaded images
• Provides symptoms and treatment information for diagnosed conditions
• User-friendly web interface

Technology Stack

• Backend: Flask (Python)
• Machine Learning: Keras with TensorFlow
• Frontend: HTML, CSS, Bootstrap
• Image Processing: OpenCV

Project Structure

• app.py: Main Flask application
• train.py: Script for training the CNN model
• predic.py: Script for making predictions
• data/: Directory containing training and validation datasets
• models/: Directory for storing trained models
• static/: Static assets (CSS, JS, images)
• templates/: HTML templates
• uploads/: Directory for uploaded images

Model Architecture

The project uses a Convolutional Neural Network (CNN) with:

• 2 convolutional layers
• Max pooling layers
• Dropout for regularization
• Softmax activation for multiclass classification

Installation and Setup

Prerequisites

• Python 3.6+ (Python 3.7 recommended for 2019 compatibility)
• pip package manager

Option 1: Quick Setup (2019 Compatible)

1. Clone the repository:

git clone https://github.com/yourusername/Medilab-plus.git
cd Medilab-plus

2. Install 2019 compatible dependencies:

pip install -r requirements-2019.txt

3. Run the application:

python app.py

4. Access the application at http://127.0.0.1:3000

Option 2: Modern Setup (Updated Dependencies)

For production deployment with better security:

1. Install updated dependencies:

pip install -r requirements-deploy.txt

2. Copy environment file:

cp .env.example .env

3. Run the application:

python app.py

Deployment

Free Cloud Deployment (Render - Recommended)

The project is ready for deployment on Render's free tier:

1. Push your code to GitHub
2. Connect to Render.com
3. Use the included render.yaml and build.sh files
4. See DEPLOYMENT.md for detailed instructions

Live Demo: Once deployed, your app will be available at https://your-app-name.onrender.com

Other Deployment Options

• Railway: $5 free credit monthly
• PythonAnywhere: Free tier for Python apps
• Heroku: Requires payment (free tier discontinued)

Important Notes

• 2019 Compatibility: Use requirements-2019.txt for immediate setup without code changes
• Modern Versions: Use requirements-modern.txt for latest features but requires code migration
• Security: 2019 versions may have known vulnerabilities; consider modern versions for production
• Models: Pre-trained models from 2019 should work with both setups

Requirements Files

• requirements.txt - Default 2019 compatible versions
• requirements-2019.txt - Explicit 2019 versions with exact version numbers
• requirements-modern.txt - Latest compatible versions (requires code changes)
• MIGRATION.md - Guide for upgrading to modern versions

Training New Models

To train a new model:

python train.py

Add the -d or --development flag for a quick test with fewer epochs:

python train.py -d