FastMCP_RecSys

FastMCP_RecSys

A CLIP-Based Fashion Recommender system that allows users to upload clothing images and receive tags and recommendations based on visual analysis.

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README

FastMCP_RecSys

This is a CLIP-Based Fashion Recommender with MCP.

Folder Structure

/project-root
│
├── /backend
│   ├── Dockerfile                # Backend Dockerfile
│   ├── /app
│   │   ├── main.py               # FastAPI app code
│   │   └── requirements.txt      # Python dependencies for the backend
│   └── .env                      # Environment variables (make sure to add this to .gitignore)
│
├── /frontend
│   ├── Dockerfile                # Frontend Dockerfile
│   ├── package.json              # Node.js dependencies (for React)
│   ├── package-lock.json         # Lock file for React dependencies
│   ├── /public
│   │   └── index.html            # HTML file for the frontend (React app is mounted here)
│   ├── /src
│   │   ├── App.js                # Main React component
│   │   └── index.js              # React entry point
│   ├── tailwind.config.js        # Tailwind CSS config
│   ├── postcss.config.js         # PostCSS config
│   └── .env                      # Frontend environment variables (add to .gitignore)
│
├── .gitignore                    # Git ignore file (include .env, node_modules, etc.)
├── docker-compose.yml            # Docker Compose configuration
└── README.md                     # Project documentation


Step 1

Update mongo service to add the same credentials:

  mongo:
    image: mongo:latest
    ports:
      - "27017:27017"
    environment:
      MONGO_INITDB_ROOT_USERNAME: root
      MONGO_INITDB_ROOT_PASSWORD: example
    volumes:
      - mongo-data:/data/db

Note: Since using environment variables in the FastAPI app, the Mongo URL should look like this: MONGO_URL = "mongodb://root:example@mongo:27017"

Once it's running, open the browser and go to 👉 http://localhost:8081

Login with: Username: root / Password: example (temporarily setting)

Step 2

docker-compose up --build

This will:

  • Start FastAPI backend with hot reload
  • Start MongoDB
  • Start Mongo Express (for DB UI) (Frontend will not be built automatically in this mode)

Step 3

  • Access the frontend (React app) at: http://localhost:3000
  • Access the backend (FastAPI app) at: http://localhost:8000

📌 Quick Tips

Visit your app at: http://localhost:8000/docs

View MongoDB UI: http://localhost:8081 (use user: root, password: example)

mongo-seed runs only once at startup to populate your tags collection.

📌 Sample Components for UI

  1. Image upload
  2. Submit button
  3. Display clothing tags + recommendations

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