HackerEarth Machine Learning challenge: How effective is the STD drug?

A new pharmaceutical startup is recently acquired by one of the world's largest MNCs. For the acquisition process, the startup is required to tabulate all drugs that they have sold and account for each drug's effectiveness. A dedicated team has been assigned the task to analyze all the data. This data has been collected over the years and it contains data points such as the drug's name, reviews by customers, popularity and use cases of the drug, and so on. Members of this team are by the noise present in the data. Your task is to make a sophisticated NLP-based Machine Learning model that has the mentioned features as the input. Also, use the input to predict the base score of a certain drug in a provided case.