What is FitCoreAI?

FitCoreAI is a modern, open, and adaptable workflow that combines AI-driven fitness planning with instant, polished PDF generation. Users interact through a clean Streamlit web application, with automation powered by callin.io, Django REST Framework, and pdfkit.

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How Does It Work?

1. Streamlit Frontend

• Users complete a straightforward form (name, age, gender, height, weight, goal, etc.).
• Upon submission, data is transmitted via a requests POST to your callin.io 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 :

pdf sample :

2. callin.io Workflow

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

3. Django REST Framework Backend

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

4. Streamlit PDF Preview (Optional)

• You can enhance the Streamlit application to preview or download the generated PDF directly.

callin.io Workflow

Key Features

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

Contact & Collaboration

Feel free to get in touch:

• Email: shadygamal1337@gmail.com
• LinkedIn: linkedin-profile

Extending the Project ( what i am adding now )

• Incorporate user authentication (DRF supports this natively).
• Integrate email delivery for PDFs.
• Enhance the Streamlit app for PDF previewing/downloading post-creation.
• Utilize any LLM or PDF rendering service of your choice (simply update the endpoints).

Thanks for reading!
If you have any ideas or suggestions, please reach out or leave a comment.
Let me know if you require anything else, such as more screenshots or a video demonstration!