AI ChatBot for Cybersecurity with Text to Voice Assistant

The AI Chatbot for Cybersecurity with Text-to-Voice Assistant is an advanced system designed to provide real-time cybersecurity guidance and threat analysis for both professionals and general users. Utilizing cutting-edge Neural Network architectures and Natural Language Processing (NLP) techniques, the chatbot interprets and responds to cybersecurity-related queries with high accuracy. The system is deployed using the Django framework, ensuring a secure and scalable web-based interface. A key feature is its text-to-voice assistant, which enhances accessibility by allowing users to interact via spoken commands and receive real-time audible responses. The chatbot continuously learns from cybersecurity datasets and user interactions, enabling it to adapt to emerging threats dynamically. By integrating machine learning-driven threat detection, personalized security assistance, and speech-enabled interactions, this system significantly improves cybersecurity awareness and response efficiency. Future developments include multi-language support, proactive threat alerts, and integration with security tools for real-time monitoring, ensuring adaptability in the evolving cybersecurity landscape.

Authors

Publication Details

Journal
International Journal for Research in Applied Science and Engineering Technology
Published
2025-04-15
DOI
https://doi.org/10.22214/ijraset.2025.68453
Primary Topic
Topic Modeling
Type
article
Field-Weighted Citation Impact
0.00
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article

AI ChatBot for Cybersecurity with Text to Voice Assistant

M Rikkash
International Journal for Research in Applied Science and Engineering Technology
Topic Modeling
article

AI ChatBot for Cybersecurity with Text to Voice Assistant

M Rikkash
article en

Abstract

The AI Chatbot for Cybersecurity with Text-to-Voice Assistant is an advanced system designed to provide real-time cybersecurity guidance and threat analysis for both professionals and general users. Utilizing cutting-edge Neural Network architectures and Natural Language Processing (NLP) techniques, the chatbot interprets and responds to cybersecurity-related queries with high accuracy. The system is deployed using the Django framework, ensuring a secure and scalable web-based interface. A key feature is its text-to-voice assistant, which enhances accessibility by allowing users to interact via spoken commands and receive real-time audible responses. The chatbot continuously learns from cybersecurity datasets and user interactions, enabling it to adapt to emerging threats dynamically. By integrating machine learning-driven threat detection, personalized security assistance, and speech-enabled interactions, this system significantly improves cybersecurity awareness and response efficiency. Future developments include multi-language support, proactive threat alerts, and integration with security tools for real-time monitoring, ensuring adaptability in the evolving cybersecurity landscape.

International Journal for Research in Applied Science and Engineering TechnologyVol. 13(4)
Openalex Percentile: Top 97%
Topic Modeling
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AI ChatBot for Cybersecurity with Text to Voice Assistant — M Rikkash · International Journal for Research in Applied Science and Engineering Technology (2025) | TGRS Research Map | TGRS