EFFECTIVE SEARCH MECHANISM FOR SUGGESTIVE RESPONSE TO PARLIAMENT QUESTIONS (UTTAR)

EFFECTIVE SEARCH MECHANISM FOR SUGGESTIVE RESPONSE TO PARLIAMENT QUESTIONS (UTTAR)

Tejas Mandora1 , Premsagar Pawar2 , Sanket Patil3 , Ketan Rathod4

1,2,3,4 Department Of Computer Engineering, Shram sadhana Bombay Trust, College of Engineering & Technology, Jalgaon.

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Abstract -Effective Search Mechanism for Suggestive Response to Parliament Questions is one of the reliable software mechanism to answer the member of parliament’s questions. During parliament session, each Department receives number of Parliament Questions (PQ) on varied topics raised by MPs. These PQ are to be handled in a very time bound manner on top priority. Each reply is generally prepared by seeking inputs from all the other relevant departments which requires lot of efforts and is also time consuming. It is desired a platform can be designed which can provide responses to similar PQ asked earlier, suggest probable reply and indicate different departments having similar programs and information. This will be helpful in preparing proper reply to PQ. Uttar is an A.I. based NLP model which helps to effectively search questions from the archive and provide approximate correct response. It is one of the most robust and effective mechanism for the parliament, because it will reduce time taken by officials to search through archive’s and question answer hours will become more productive with reduction in backlogs..

Key Words: searching mechanism, Parliament Questions, approximate, productive