ASK.AI - An AI based Question Answering Chatbot

Abstract—The main focus of this research paper is a presentation of an intelligent, AI-based Question Answering (QA) chatbot called ASK.AI, that can accurately and contextually answer the user queries spoken in a natural language. It uses the Google Gemini API, a state of the art large language model with capabilities of interpreting, processing and generating human like answers to topics. The core foundation of ASK.AI is when user centric interaction is designed to deliver fluid and meaningful conversation using natural Language Understanding (NLU) and Generation (NLG). This paper discusses the architecture of ASK.AI, its integration methodology and design, and its performance evaluation focusing on responsiveness, contextual awareness and its adaptability. We show that the chatbot is effective for several domains of use including in educational, customer service, and general informational query contexts. The study also addresses current limitations as well as indicates how domain specific customization, multi turn reasoning and dialogue coherence can be enhanced in future. Keywords— Natural Language Understanding, Natural Language Generation, Application Programming Interface.

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Publication Details

Journal
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Published
2025-05-04
DOI
https://doi.org/10.55041/ijsrem46940
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
0.00
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article

ASK.AI - An AI based Question Answering Chatbot

J.T. Kaveesha Viduranga
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
AI in Service Interactions
article

ASK.AI - An AI based Question Answering Chatbot

J.T. Kaveesha Viduranga
article en

Abstract

Abstract—The main focus of this research paper is a presentation of an intelligent, AI-based Question Answering (QA) chatbot called ASK.AI, that can accurately and contextually answer the user queries spoken in a natural language. It uses the Google Gemini API, a state of the art large language model with capabilities of interpreting, processing and generating human like answers to topics. The core foundation of ASK.AI is when user centric interaction is designed to deliver fluid and meaningful conversation using natural Language Understanding (NLU) and Generation (NLG). This paper discusses the architecture of ASK.AI, its integration methodology and design, and its performance evaluation focusing on responsiveness, contextual awareness and its adaptability. We show that the chatbot is effective for several domains of use including in educational, customer service, and general informational query contexts. The study also addresses current limitations as well as indicates how domain specific customization, multi turn reasoning and dialogue coherence can be enhanced in future. Keywords— Natural Language Understanding, Natural Language Generation, Application Programming Interface.

INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENTVol. 09(05)
Jain University (IN)
Openalex Percentile: Top 96%
AI in Service Interactions
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