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Problem statement

In the distant country of Cordovia, a guy named Bojack runs a prestigious restaurant. Although his restaurant has been receiving high volumes of advance-bookings for all tables recently, it has not been generating enough revenue as one may anticipate. He suspects his chief accountant, Todd Savez, is misreporting the total amount of bills that are generated.

For this, Bojack needs an automated system that can read the total amount from a given bill so he can later use it to check against the total earnings of his restaurant. Your task is to make a sophisticated NLP-based Machine Learning model that can process an invoice or receipt and output the total amount mentioned in it.


The dataset consists of files carrying receipt details from the restaurant.

The benefits of practicing this problem by using Machine Learning techniques are as follows:

  • This challenge will encourage you to apply your Machine Learning skills to build models that can process a receipt and output the total amount mentioned in it.
  • This challenge will help you enhance your knowledge of Natural Language Processing (NLP). NLP is one of the advanced fields of Machine Learning and Artificial Intelligence.

We challenge you to build a model that determines the total amount of an invoice generated in the restaurant.


Considering these unfortunate times that the entire world is facing due to the Coronavirus pandemic, we wish to do our bit and contribute the prize money for the welfare of society.


Machine learning is an application of artificial intelligence (AI) that provides systems with the ability to automatically learn and improve from experiences without being explicitly programmed. Machine Learning is a Science that determines patterns in data. These patterns provide a deeper meaning to problems. First, it helps you understand the problems better and then solve the same with elegance.

Here is the new HackerEarth Machine Learning Challenge—Calculate the total earnings of Bojack's restaurant.

This challenge is designed to help you improve your Machine Learning skills by competing and learning from fellow participants.

Why should you participate?

  • To analyze and implement multiple algorithms and determine which is more appropriate for a problem
  • To get hands-on experience in Machine Learning problems

Who should participate?

  • Working professionals
  • Data Science or Machine Learning enthusiasts
  • College students (if you understand the basics of predictive modeling)


Machine Learning practice


  • To claim your prize, more than 50% of your HackerEarth profile must be complete
  • The prizes will be disbursed in the second week of the following month


  1. Your output will be evaluated only for 50% of the test data while the contest is running. Once the contest is over, output for the remaining 50% of the data will be eval...
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