Multiclass Context Analysis of Hindi Statements Using Natural Language Processing

India has many different spoken languages. The majority of the populace communicates in their native tongues. In every device, support for these languages is available. Hindi language posts and material are becoming more and more prevalent. However, tools for categorizing and analyzing the context and intent have primarily been created for international languages like English. Because so many people increasingly utilize local languages on social media, there is a greater demand for support for text classification and analysis in local languages. In this work an application is created which can analyze the context of the particular hindi text entered. The application has XLM-ROBERTA model running in the background for which transfer learning is used to train it.