Inspiration: In a modern world where online shopping has become the norm, it has become easier to blow money on unnecessary purchases without realizing the financial burden that it may cause.
What it does: Our product aims to aid users in making viable purchases and financially conscious decisions.
How we built it: We made a web extension using Javascript, HTML, and CSS on the frontend and applied a machine learning algorithm in the backend.
Challenges we ran into: Our models weren't great and we lacked an extensive dataset to train our model on. We also didn't have much prior knowledge on how to code an extension.
Accomplishments: We designed a Chrome extension and were able to display our results applied to products listed on Amazon.com.
What we learned: We learned how to make a Chrome extension and implement a machine-learning model.
What's next for Budgeting Planner and Consultant Chrome Extension: We'd like to train the model on more data and scale the project so that it can be applied to other websites.
Log in or sign up for Devpost to join the conversation.