SimpliFi

Inspiration

As our world shifts to mobile payments, it's becoming harder and harder to budget our finances and differentiate between luxuries and necessities.

What it does

A simple financial wellness application that allows you to digitize your receipts and leverage state-of-the-art Machine Learning and Natural Language Processing to categorize your budget into unique categories.

How we built it

React and Material-UI frameworks for development of authentication, transactions, and budget user interfaces
Firebase API for user authentication and cloud integration
Google Cloud Firestore for receipt item inventory, hosting images, and hosting client applications.
Google Cloud Vision OCR for conversion of image text into machine-encoded text
Google Cloud NLP Content Classifier for classification of receipt items into a taxonomy of unique shopping categories
Google Cloud App Engine to host server which interacts with the client application hosted on Firebase

Challenges we ran into

Implementation of the OCR to register the correct information
Content categorization
Synchronizing API calls with promises and daisy-chaining

Accomplishments we're proud of

A simple and friendly user interface
Perfect carry-out and usage of multiple API's
Application of Machine Learning to assign receipt items an appropriate category

What we learned

We learned a lot of technical skills such as api implementation, web server hosting, and front-end vs. back-end design.

What's next for SimpliFi

We believe SimpliFi has much more potential for additional features.

Location and Fraud

Use Google Maps API to keep a record of where all purchases were made
Purchase made in another country will alert user of possible fraud

User Spending Habits

Use machine learning to determine the best budgeting plan based on the user's spending habits

Made at DragonHacks 2019

Built With

Submitted to

DragonHacks 2019

Created by

I worked on the front end design developing the login and sign-up pages. I also designed all the visuals in order for users to have the best experience.

Rageon718
I worked on the front-end page design of Budget and created a way for a graph to take input from the json object and updates the graph based on data received.

Allen Wu
I maintained the Node.JS Server that hosted API endpoints for the services listed below:
I leveraged Google Cloud Vision Tesseract to scan receipts and created an algorithm that parsed items and prices from the scanned receipt. I also leveraged Google Cloud NLP Content Classifier to category purchased items into unique categories of a budget.

Daniel Schwartz
I worked on analyzing the data from receipts with Google's Tesseract OCR and testing it with the Google Cloud NLP Content Classifier.

KevinIsMyName
I had the vision.

Henry Unite
Software Engineer