Inspiration
For contractors and small businesses, the invoicing process is often fragmented, requiring separate tools for tracking work, generating bills, and processing transactions securely. We wanted to build a unified solution that leverages AI to streamline administrative finance.
What it does
PayFlow AI is an autonomous invoicing agent built with Flask that turns raw project descriptions into structured, line-itemized bills instantly. It also includes an algorithmic risk assessment to evaluate transaction risk patterns and integrates the native PayPal SDK for frictionless, one-click sandbox payments.
How we built it
We developed the backend using Python and Flask, utilizing large language models to parse and structure text into clean invoice items and calculate risk scores. The user interface was styled for a high-tech, minimalist aesthetic, and we integrated the PayPal SDK to handle payment flows smoothly.
Challenges we ran into
Ensuring that unstructured project descriptions consistently mapped into accurate line items required careful prompt structuring. We also fine-tuned the risk-scoring algorithm to properly categorize transaction patterns without adding friction to the payment user experience.
Accomplishments that we're proud of
Successfully automating the entire loop from raw text to a risk-scored invoice with a functional PayPal payment button in a clean, unified application.
What we learned
Gained deep experience working with the PayPal SDK, orchestrating backend LLM calls in a Flask application, and designing streamlined workflows for financial technology agents.
What's next for PayFlow AI
Expanding the risk-scoring engine with advanced historical data analytics and introducing multi-currency support for global contractors.
Built With
- ai
- css
- flask
- html
- javascript
- language
- large
- model
- paypal-sdk
- python
