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  Published Paper Details:

  Paper Title

  Authors

  Dr.S.Subashini,  Nithishkumar K K,  Prasanna Krishna A S,  Nikhilesh Pranav M S,  Nandhakumaran H

  Keywords

Machine Learning, Chatbot, Public Services, Python, Policies, Schemes

  Abstract


The sophisticated Python-based chatbot named as 'Government Infobot' represents a pinnacle of technological innovation, meticulously tailored to tackle the multifaceted challenges inherent in disseminating crucial information on government schemes. Placing paramount emphasis on user accessibility, the chatbot's intuitively designed User Interface offers a seamless and engaging experience for users across diverse demographics and technological proficiencies. Its robust architecture integrates state-of-the-art Natural Language Processing and machine learning algorithms, ensuring not only precision in responses but also adaptability to evolving user queries and needs. Moreover, the system's capability for real-time updates and eligibility verification not only enhances its reliability but also underscores its commitment to providing accurate and up-to-date information to citizens. By bridging the gap between citizens and government schemes, this innovative solution heralds a new era of transparent and accessible public service delivery, promising to redefine the landscape of governmental communication and engagement.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT24A4760

  Paper ID - 258327

  Page Number(s) - p364-p370

  Pubished in - Volume 12 | Issue 4 | April 2024

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Dr.S.Subashini,  Nithishkumar K K,  Prasanna Krishna A S,  Nikhilesh Pranav M S,  Nandhakumaran H,   "Government Infobot", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.12, Issue 4, pp.p364-p370, April 2024, Available at :http://www.ijcrt.org/papers/IJCRT24A4760.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


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ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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