Payback.Demo.mp4
As college students, we often shop with our roommates and have to split costs. It can become a hassle, and it's tedious and cumbersome to calculate how much everyone owes. For that reason, we came up with an easy and quick way for everyone to streamline expense splitting.
Payback simplifies expense splitting for groups. Users can snap a picture of the receipt, invite friends to the group, and effortlessly allocate expenses. No more manual calculations or confusion—just a hassle-free solution for sharing costs.
We used React Native for the frontend, Firebase for backend services, Flask as the backend framework, PyTesseract for image text recognition, GitHub for version control, and PyTorch for additional image processing. This combination allowed us to create a robust, cross-platform app with powerful image recognition capabilities.
We had issues with the image text recognition using PyTesseract, and it took a lot of trial and error to find a configuration that worked. We also encountered challenges in preprocessing the images for accurate recognition. Integrating the frontend with the backend and image recognition posed another challenge, requiring extensive effort to ensure seamless functionality.
We're proud to have created a user-friendly app that addresses a common pain point for many, making expense splitting among friends a smooth and enjoyable experience. Achieving a seamless integration of features is an accomplishment we celebrate.
Developing Payback taught us valuable lessons in user interface design, receipt processing algorithms, and effective teamwork. We gained insights into the importance of user feedback and iterative development.
Looking ahead, we plan to enhance Payback by incorporating additional features based on user feedback. We aim to make it the go-to app for effortless expense management, continually refining and expanding its capabilities.
firebase, flask, git, javascript, nosql, pytesseract, python, pytorch, react-native