Contact person: Business Client

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Location: Rego Park, United States

Budget: Recommended by industry experts

Time to start: As soon as possible

Project description:
"I want a streamlined Python-based workflow that, every day, does the heavy lifting of publishing fresh betting content to Whop without any manual touch-points.

Here’s the flow I have in mind:

• Pull comprehensive betting odds, game scores, and any other meaningful metrics for NBA, NFL, MLB, Soccer, and the rest of the major leagues from a reliable odds API.
• Pass that raw data to an LLM (OpenAI or comparable) so it can generate daily picks and an accompanying narrative report.
• Drop the model’s output into a pair of simple HTML templates.
• Use Playwright or Puppeteer to turn those templates into crisp PNG images.
• Post both the text and the screenshots to Whop through their API, triggered automatically on a cron schedule.

Tech stack expectations
Python is the preferred language, paired with REST-friendly libraries, Playwright/Puppeteer for rendering, and solid cron or cloud-scheduler experience. Prior exposure to sports data APIs or social-media automation is a bonus, but not mandatory.

What I need from you
Show me a GitHub profile or portfolio link, a short note on similar API/automation projects you’ve shipped, and your rough timeline plus rate for the initial build. I’m treating this as a one-off delivery, yet a clean, well-documented solution could lead to ongoing feature work. Fast turnaround earns extra points." (client-provided description)