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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM46940
Volume:
9 |
5 |
May 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
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
Publication Date
5/4/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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