Conversational AI Chatbot Using Log Pattern Detection

This application is a self-learning and self-healing capability solution for users. The backend system is integrated with multiple data sources relevant to the application, user transaction database, system infrastructure and application services etc., to capture the user interaction with the application and the issues he/she faced before hand and send personalized message to the user. This will provide either a self-healing capability or the agent is ready with the required data to help the customer answer his queries. The solution can be integrated for any domain mobile or web applications application. The application uses log pattern detection to detect a potential outage and solve the upcoming error using different approaches. The application also sends personalized message to the user according to his interests. This application uses different AWS services for creating conversational interfaces between the user and the agent, to provision and manage servers, to store and retrieve data anytime from the web, to train the AI to analyze the log patterns and detect any irregularities etc.

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Publication Details

Published
2024-09-27
DOI
https://doi.org/10.1109/acroset62108.2024.10743373
Primary Topic
Topic Modeling
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article
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article

Conversational AI Chatbot Using Log Pattern Detection

M Rakesh, Shashikala HK, Rahul K. Das, Muhammad Umar Khan et al.
Topic Modeling
article

Conversational AI Chatbot Using Log Pattern Detection

M Rakesh, Shashikala HK, Rahul K. Das, Muhammad Umar Khan, Adeebulla Khan, Tamil Iniyan KS
article en

Abstract

This application is a self-learning and self-healing capability solution for users. The backend system is integrated with multiple data sources relevant to the application, user transaction database, system infrastructure and application services etc., to capture the user interaction with the application and the issues he/she faced before hand and send personalized message to the user. This will provide either a self-healing capability or the agent is ready with the required data to help the customer answer his queries. The solution can be integrated for any domain mobile or web applications application. The application uses log pattern detection to detect a potential outage and solve the upcoming error using different approaches. The application also sends personalized message to the user according to his interests. This application uses different AWS services for creating conversational interfaces between the user and the agent, to provision and manage servers, to store and retrieve data anytime from the web, to train the AI to analyze the log patterns and detect any irregularities etc.

Jain University (IN)
Openalex Percentile: Top 82%
Topic Modeling
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