Talk o matic (A prompt chatbot)

Year : 2025 | Volume : 12 | Issue : 01 | Page : 1 15
    By

    Ankur Kr. Singh,

  • Ravi Gupta,

  • Anjali Vishwkarma,

  • Manvi Tiwari,

  • Atin Sharma,

  • Anurag Yadav,

  • Md. Gufran,

  • 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

This study 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 work 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 automated communication are becoming more and more vital, this chat-bot goals to increase user interaction in a very interesting and intelligent manner and also enhances the communication skills of the user in different languages. The methodology goes 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 in a structural and interesting 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 interestingly 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 ]

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):1-15.
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):1-15. Available from: https://journals.stmjournals.com/joosd/article=2025/view=193086


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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
Publication Time 40 Days
242

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