4_Alpha!_EmptyBin

landing page
description
prediction page

Inspiration

In a world where food wastage is a massive problem, The idea for our web application was inspired by the urgent need to address this waste and its environmental, economic, and social implications. While food is being wasted on one side, millions of people are starving on the other side.

What it does

Users can SignUp/Login into our web application. Users simply need to input the number of people they are serving, and our model accurately predicts the quantity of food required considering the previous history of amount of food prepared and wastage of food.

How we built it

First we made a machine learning model that trains the data which includes date, the type of food, Number of people, Amount of food prepared and the wastage. Then we integrated our result of the trained model into an API. For the web application we used ReactJS, HTML and CSS for the frontend and used Python-Flask to build the API's. We used MongoDB to store the data.