Abstract: Disclosed herein is a method and system for recommending a response for a voice-based user input. The method includes detecting voice-based user input or input based on a query provided by a user. The method includes, extracting one or more voice parameters from pronunciation of the input. Thereafter, a disease type associated with the user is identified based on one or more voice parameters. Further, system verifies correctness of each word in the input based on comparison of each of the one or more voice parameters with a first set of predetermined corresponding one or more voice parameters associated with the disease type. Finally, the response is recommended for the input based on verification of correctness of each word in the input. The present disclosure recommends an accurate response for the input since one or more words detected incorrectly are auto corrected and provides a better user experience.

Abstract: Disclosed herein is a method and system for recommending a response for a voice-based user input. The method includes detecting voice-based user input or input based on a query provided by a user. The method includes, extracting one or more voice parameters from pronunciation of the input. Thereafter, a disease type associated with the user is identified based on one or more voice parameters. Further, system verifies correctness of each word in the input based on comparison of each of the one or more voice parameters with a first set of predetermined corresponding one or more voice parameters associated with the disease type. Finally, the response is recommended for the input based on verification of correctness of each word in the input. The present disclosure recommends an accurate response for the input since one or more words detected incorrectly are auto corrected and provides a better user experience.