I need help wiring Stripe into my application so it can accept one-time payments smoothly and securely. Beyond simply collecting the money, I’d like every completed charge to be run through an AI layer that automatically tags or categorises the transaction (think “membership”, “digital download”, “donation”, etc.) so I can segment reporting later on. Here’s what I envision: • Front-end or backend call (your choice) hits Stripe’s API, creates the charge, and returns the success or failure state. • Once the charge is confirmed, a lightweight machine-learning model or external service kicks in, inspects the metadata and description, and assigns the proper category flag. The categorised result should be saved back to my database alongside the Stripe charge ID for future analytics. I’m open to the specific stack—Python, Node, or PHP are all fine as long as you can justify the choice and keep dependencies light. The key deliverables are: 1. Fully functional one-time payment flow using Stripe. 2. AI-driven categorisation of each successful payment, stored in my data store. 3. Clear, step-by-step setup instructions so I can reproduce the configuration in staging and production. If you have previous examples of pairing Stripe with ML tools like TensorFlow, PyTorch, or even a SaaS NLP classifier, that would be great to see, but I mainly care that the final handoff is clean, tested, and documented.