Talk o matic (A prompt chatbot)

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This is an unedited manuscript accepted for publication and provided as an Article in Press for early access at the author’s request. The article will undergo copyediting, typesetting, and galley proof review before final publication. Please be aware that errors may be identified during production that could affect the content. All legal disclaimers of the journal apply.

Year : 2025 | Volume :12 | Issue : 01 | Page : –
By
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Ankur Kr. Singh,

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Ravi Gupta,

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Anjali Vishwkarma,

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Manvi Tiwari,

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Atin Sharma,

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Anurag Yadav,

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Md. Gufran,

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Riya Singh,

  1. Student, Department of Computer Science, Bansal Institute Of Engineering & Technology, Lucknow, Uttar Pradesh, India
  2. Student, Department of Computer Science, Bansal Institute of Engineering & Technology, Lucknow, Uttar Pradesh, India
  3. Student, Department of Computer Science, Bansal Institute of Engineering & Technology, Lucknow, Uttar Pradesh, India
  4. Student, Department of Computer Science, Bansal Institute of Engineering & Technology, Lucknow, Uttar Pradesh, India
  5. Student, Department of Computer Science, Bansal Institute of Engineering & Technology, Lucknow, Uttar Pradesh, India
  6. Student, Department of Computer Science, Bansal Institute of Engineering & Technology, Lucknow, Uttar Pradesh, India
  7. Student, Department of Computer Science, Bansal Institute of Engineering & Technology, Lucknow, Uttar Pradesh, India
  8. Student, Department of Computer Science, Bansal Institute of Engineering & Technology, Lucknow, Uttar Pradesh, India

Abstract

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This paper represents the investigation, evolution and implementation of a prompt-based chat-bot that is developed by using Gaianet.ai and the Llama API that give the answer until we say exit. The main goal of this research paper is to create and develop a conversational agent capability of answering a suitable and humane base array of user questions with accuracy and material list.

 In an era where communication using automatic is becoming more and more vital, this chat-bot goals to increase user interaction through very interesting and in a intelligent manner and it enhances the communication skills of the user in different languages. The methodology go through several aspects. Initially, the unification of the public node of Gaianet.ai is confirmed, which gives the service as the foundation for the natural language capabilities of the chat-bot so that it can communicate with people like a structural and interested way. This implementation is necessary, as it allows the chat-bot to support Gaianet.ai’s advanced algorithms to understand and respond to user questions interesting and effectively.

Keywords: Artificial Intelligence, Chatbot Technology, Natural Language Processing (NLP), Gaianet.ai, Ethical AI Principles

[This article belongs to Journal of Open Source Developments (joosd)]

How to cite this article:
Ankur Kr. Singh, Ravi Gupta, Anjali Vishwkarma, Manvi Tiwari, Atin Sharma, Anurag Yadav, Md. Gufran, Riya Singh. Talk o matic (A prompt chatbot). Journal of Open Source Developments. 2025; 12(01):-.
How to cite this URL:
Ankur Kr. Singh, Ravi Gupta, Anjali Vishwkarma, Manvi Tiwari, Atin Sharma, Anurag Yadav, Md. Gufran, Riya Singh. Talk o matic (A prompt chatbot). Journal of Open Source Developments. 2025; 12(01):-. Available from: https://journals.stmjournals.com/joosd/article=2025/view=0

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Regular Issue Subscription Review Article
Volume 12
Issue 01
Received 29/11/2024
Accepted 23/12/2024
Published 08/01/2025
311