RestSupport

Inspiration

The COVID pandemic has led to several business especially restaurants gaining less customers and traction. As a result many businesses have shut down, and many are on the brink of collapsing. I wondered if we could solve this problem by using machine learning and AI

What it does

Uses machine learning to predict the revenue of the business based on 37 price factors, and its location. This predicted revenue can let the owner know if it is time to shut down his restaurant or keep it going. I used 3 models, random forest classifier, random forest regressor, and linear regression and ended up with a 72% accuracy.

How we built it

RestSupport was built Using python and sklearn, pandas, and numpy, which are machine learning libraries.

Challenges we ran into

First time learning machine learning was difficult and as a result we couldnt achieve the accuracy we had wanted too. Too less time to create a UI/UX

Accomplishments that we're proud of

1) Learning ML 2) creating a beneficial project that can help many people and have a positive impact

What's next for RestSupport

Create a webapp where users can identify struggling businesses and eat there based on the generated revenue

Built With

• python
• sklearn