Empty bin
Aims to predict the amount of various domains of the food industry by utilizing supervised machine learning to get the amount of food to be produced by an organization to achieve minimal food wastage
Empty bin
Aims to predict the amount of various domains of the food industry by utilizing supervised machine learning to get the amount of food to be produced by an organization to achieve minimal food wastage
The problem Empty bin solves
- This would be a better method to approximate the amount of food that an organization has to prepare.
- Instead of just blindly approximating the food to be made, the users can input the various variables that determine the quantity of food to be prepared.
- Following that the model would output the quantity of food to be prepared
Challenges we ran into
- Lack of a good representative dataset : We collected raw data from some institutions and made a dataset
Technologies used
Discussion