FitCoreAI: AI-Powered Fitness/nutration Plan PDF Generator n8n × Django × Streamlit × DRF × pdfkit

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What is FitCoreAI?

FitCoreAI is a modern, open, and flexible workflow that combines AI-driven fitness planning with instant, beautiful PDF generation— Users interact via a clean Streamlit web app, is automation using n8n, Django REST Framework, and pdfkit.

How Does It Work?

1. Streamlit Frontend

  • Users fill in a simple form (name, age, gender, height, weight, goal, etc.).
  • On submit, data is sent via a requests POST to your n8n webhook.
  • Example payload :
{
  "name": "John",
  "age": "28",
  "gender": "male",
  "height": "178",
  "weight": "75",
  "goal": "build muscle",
  "diet": "high protein",
  "level": "intermediate",
  "days": "4"
}

The Streamlit UI is intuitive and visually appealing :

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pdf sample :

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2. n8n Workflow

  • Webhook: Receives form data.
  • AI Agent: Calls a language model to generate a tailored HTML fitness plan using strict formatting.
  • HTTP Request: Posts the HTML & user data to your Django API (DRF endpoint), which generates a PDF using pdfkit.
  • JS Code Node: Renames the binary file with user’s name for clarity.
  • HTTP Request: Uploads the PDF to storage or another custom endpoint. ( mine i made with django API )

3. Django REST Framework Backend

  • PDF Generation Endpoint: Accepts POSTed data, renders the HTML to PDF with pdfkit and returns it.
  • Upload/Listing Endpoint: Stores metadata about each PDF, supports querying by specific ID and name, and uses DRF serializers.
  • File Handling: PDF files are uploaded and stored using Django’s FileField with validators and security handling

4. Streamlit PDF Preview (Optional)

  • You can extend the Streamlit app to preview or download the generated PDF directly.

n8n Workflow

Key Features

  • Interactive Streamlit App frontend for user data collection.
  • Flexible n8n Workflow: Orchestrates AI, PDF generation, and file handling.
  • Django REST API: Handles PDF creation and storage.
  • AI-powered HTML Plan Generation for consistent styling and easy PDF rendering.
  • Modular: Easily extend for other document types (meal plans, business summaries, etc).
  • Open-source: Swap endpoints, models, or storage as you need.

Contact & Collaboration

Feel free to reach out:

Extending the Project ( what i am adding now )

  • Add user authentication (DRF supports this out of the box)
  • Integrate email delivery of PDFs
  • Extend the Streamlit app to preview/download PDFs after creation
  • Use any LLM or PDF rendering service you prefer (just update endpoints)

Thanks for reading!
If you have ideas, suggestions, please contact or leave a comment
Let me know if you need anything else, more screenshots, or a video demo!

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