Interactive Machine Learning Chatbot: Developing a Self-Learning Conversational bot using Python for Dynamic Knowledge Management

Ensuring access to legal information and services is critical for justice and empowerment, particularly for economically disadvantaged individuals who often encounter obstacles in navigating the legal system. This study introduces an advanced chatbot developed using Python and the Natural Language T...

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Bibliographic Details
Published inInternational Conference on Computing, Communication and Automation (Online) pp. 1 - 5
Main Authors Kannan, K Nattar, Vijayaragavan, P., Jaini, Santosh, Katikireddi, Phani Monogya, Balasundaram, N., T, Chidananda
Format Conference Proceeding
LanguageEnglish
Published IEEE 22.11.2024
Subjects
Chatbot
Chatbots
Data privacy
dynamic knowledge management
General Data Protection Regulation
Intellectual property
Knowledge
Knowledge management
Law
Legal factors
Natural language processing
Navigation
Regulation
Trademarks
Online AccessGet full text
ISSN2642-7354
DOI10.1109/ICACCM61117.2024.11059006

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Summary:Ensuring access to legal information and services is critical for justice and empowerment, particularly for economically disadvantaged individuals who often encounter obstacles in navigating the legal system. This study introduces an advanced chatbot developed using Python and the Natural Language Toolkit (nltk), designed to learn and improve from user interactions. Utilizing sophisticated pattern-matching algorithms and natural language processing (NLP) techniques, the chatbot effectively understands user queries and provides precise legal information. By integrating current government acts and legal regulations into its knowledge base, the chatbot ensures the delivery of accurate and up-to-date legal advice.
ISSN:2642-7354
DOI:10.1109/ICACCM61117.2024.11059006