Expense management is very crucial, and even more so for young adults nowadays given the rising daily-essentials' prices and too many non-leisure expenses done by people which can be easily cut down, but no one even glances on it.

What it does

This app allows users to record their expenses, track them, visualize them in various ways, get AI-powered insights on how and where to cut costs as well as see deals and offers of stores nearby

How we built it

This app has 3 parts: A React.js frontend, Node.js backend, and a Python Recommendation Engine.

Challenges we ran into

We mostly ran into challenges on the time management part and that we planned on integrating a lot of solutions that we are capable of. The ML text classification model took a lot of time to train but it resulted in an astonishing score of 0.92.

Accomplishments that we're proud of

We were able to brainstorm the solutions pretty quickly, and were able to use a lot of different technologies given every member's strength.

What we learned

Although we weren't able to achieve everything we planning(ofc due to time constraints), we have got a very solid project to keep working on and learning. We solved a lot of design as well as technical challenges in the past few days since we started discussing about it.

What's next for Savy

We're going to keep improving it till we reach a level of satisfaction and the existing plan is completed first, which in itself has many USPs.

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