About the Project – InvoicePilotAI
Inspiration
We were inspired by the challenges freelancers, small businesses, and independent professionals face when managing invoices and payments. Creating invoices manually, tracking payment statuses, handling currency conversions, and following up on pending payments can be time-consuming. We wanted to simplify this entire process by building an AI-powered invoicing platform that makes invoice management smarter and easier.
What We Built
InvoicePilotAI is an AI-powered invoice management platform that combines Google Gemini AI with PayPal Sandbox integration.
Our platform allows users to:
- Generate professional invoice drafts using natural language through Google Gemini AI.
- Save and manage invoices using a database.
- Convert invoice amounts from INR to USD.
- Create PayPal payment orders and complete payments through PayPal Sandbox.
- Track payment statuses, including Pending and Paid.
- Generate AI-powered payment reminders.
How We Built It
We developed the project using Python and FastAPI for the backend, HTML, CSS, and JavaScript for the frontend, and SQLite for database management.
We integrated Google Gemini AI to understand user descriptions and generate structured invoice details. We also implemented currency conversion to support international payments and integrated PayPal Sandbox APIs for payment order creation and capture.
Throughout development, we used Git and GitHub for version control and collaboration.
What We Learned
This project gave us practical experience in:
- Integrating AI APIs into a real-world application.
- Building backend APIs using Python and FastAPI.
- Connecting frontend interfaces with backend services.
- Managing and storing data using SQLite.
- Working with currency conversion APIs.
- Understanding PayPal payment workflows, including order creation and payment capture.
- Debugging, testing, and collaborating through Git and GitHub.
Challenges We Faced
One of our biggest challenges was integrating multiple services into one application. We encountered difficulties with API configuration, Python dependencies, currency conversion, and PayPal Sandbox payment processing.
Another challenge was handling Git conflicts while combining our individual contributions. We learned how to resolve conflicts, preserve existing functionality, test our changes, and merge our work safely into the main branch.
Each challenge helped us understand the importance of debugging, testing, and maintaining reliable integrations.
What's Next
We aim to improve InvoicePilotAI with additional payment options, enhanced invoice analytics, better automation, and support for more currencies.
InvoicePilotAI – Create Smarter. Pay Faster. Manage Effortlessly.
