|
Hassan Mehmood |
Roha Pathan |
Joy Chris-Odai Nkor |
Okey Amy |
MalamaAI is a machine learning-powered application designed to recognize various skin diseases using advanced AI models. The name "Malama" is a Hawaiian word that means 'to care for,' reflecting the project's mission to provide care through technology. This project employs the LLM 3.370b model, built on top of a fine-tuned version of Dinov2, enhancing its accuracy and reliability in disease recognition.
- Interactive Frontend: Built with Next.js for speed and interactivity.
- Scalable Backend: Powered by Flask, supporting RESTful API integration.
- Enhanced Model: Utilizes LLM 3.370b on top of a fine-tuned version of Dinov2 for improved accuracy.
MalamaAI/
│
├── Frontend/ # Contains the Next.js frontend
│ ├── app/ # Next.js application
│ ├── components/ # Reusable components
│ ├── svgs/ # SVG assets
│ ├── .gitignore # Git ignored files
│ ├── next.config.mjs # Next.js configuration
│ ├── package-lock.json # Locked versions of dependencies
│ ├── package.json # Frontend dependencies and scripts
│ ├── postcss.config.mjs # PostCSS configuration
│ ├── README.md # Frontend documentation
│ ├── tailwind.config.ts # Tailwind CSS configuration
│ └── tsconfig.json # TypeScript configuration
│
├── webapp/ # Flask backend application
│ ├── __pycache__/ # Compiled Python files
│ ├── static/ # Static files for Flask
│ ├── templates/ # HTML templates for rendering
│ ├── app.py # Main API logic
│ ├── model.py # Model definition and training logic
│ ├── .gitignore # Git ignored files
│ ├── MalamaAi.pptx # Presentation (overview of the project)
│ ├── README.md # Backend documentation
│ └── requirements.txt # Backend dependencies
- Node.js (for frontend development)
- Python 3.8+ (for backend)
- pip (to install Python dependencies)
-
Clone the repository:
git clone https://github.com/row-huh/MalamaAI.git cd MalamaAI -
Set up the backend:
cd webapp pip install -r requirements.txt -
Set up the frontend:
cd ../Frontend npm install -
Run the application:
- Backend: Start the Flask server:
python app.py
- Frontend: Start the Next.js server:
npm run dev
- Backend: Start the Flask server:
-
Open the application in your browser at
http://localhost:3000.