Novel Approach to Design and Implement a Multi-Language Convertor using Machine Learning Techniques

This paper describes the multi-language translator application which fills in as a mediator connect for two people holding a conversation using various languages. This framework can translate any language which is written or spoken by a client to any language in which the client needs. To achieve this task, our system work on three separate models: voice to text conversion model, text to voice conversion model and translated model. Our translator will help the tourist and businessmen traveling to foreign countries with alien language which is the primary correspondence obstruction between the individual situated in various nations. It will be beneficial for them to find restaurants, toilets, hotels, libraries, etc.