Open Access
Research Paper
Peer Reviewed

Paper Title

ChatGenie – An autonomous chatbot using AI with AI Detection and Image Generation

Article Identifiers

Registration ID: IJNRD_195022

Published ID: IJNRD2305377

: Click Here to Get

Keywords

Artificial Intelligence (AI), Text generation, Image generation, AI detection.

Abstract

ChatGenie is an autonomous chatbot that uses Artificial Intelligence (AI) to converse with users and generate images. It leverages OpenAI's API for text generation and DALL-E API for image generation. ChatGenie also incorporates AI detection to identify if the text input is generated by a machine or a human. The chatbot is designed to provide users with an engaging and personalized experience by understanding their queries and generating relevant responses. ChatGenie can converse with users on a wide range of topics, such as weather, news, entertainment, and sports, among others. In addition to text generation, ChatGenie can also generate images based on user queries, using DALL-E's state-of-the-art image generation capabilities. The images are tailored to the user's input and can range from realistic to abstract, depending on the context. To ensure the authenticity of the conversation, ChatGenie incorporates AI detection to identify if the text input is generated by a machine or a human. This helps in building user trust and ensuring that the chatbot is transparent in its functioning. Overall, ChatGenie is an innovative chatbot that provides a unique user experience by leveraging the power of AI for both text and image generation, while also ensuring authenticity and transparency in its interactions.

How To Cite (APA)

Pranav Satav, Mrunal Bhosale , Sankalp Thube , & Niranjan Fartare (May-2023). ChatGenie – An autonomous chatbot using AI with AI Detection and Image Generation. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(5), d610-d621. https://ijnrd.org/papers/IJNRD2305377.pdf

Issue

Other Publication Details

Paper Reg. ID: IJNRD_195022

Published Paper Id: IJNRD2305377

Downloads: 000122253

Research Area: Engineering

Author Type: Indian Author

Country: Pune, Maharashtra, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2305377.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2305377

About Publisher

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

UGC CARE JOURNAL PUBLICATION | ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJNRD (IJ Publication) Janvi Wave | IJNRD.ORG | IJNRD.COM | IJPUB.ORG

Copyright & License

© 2025 — Authors hold the copyright of this article. This work is licensed under a Creative Commons Attribution 4.0 International License. and The Open Definition.

You are free to share, adapt, and redistribute the material, provided proper credit is given to the original author. 🛡️ Disclaimer: The content, data, and findings in this article are based on the authors’ research and have been peer-reviewed for academic purposes only. Readers are advised to verify all information before practical or commercial use. The journal and its editorial board are not liable for any errors, losses, or consequences arising from its use.
CC OpenContant

Publication Timeline

Peer Review
Through Scholar9.com Platform

Article Preview: View Full Paper

Call For Paper

Call For Paper - Volume 10 | Issue 12 | December 2025

IJNRD is a Scholarly Open Access, Peer-Reviewed, Refereed, and UGC CARE Journal Publication with a High Impact Factor of 8.76 (calculated by Google Scholar & Semantic Scholar | AI-Powered Research Tool). It is a Multidisciplinary, Monthly, Low-Cost, and Transparent Peer Review Journal Publication that adheres to the UGC CARE 2025 Peer-Reviewed Journal Policy and aligns with Scopus Journal Publication standards to ensure the highest level of research quality and credibility.

IJNRD offers comprehensive Journal Publication Services including indexing in all major databases and metadata repositories, Digital Object Identifier (Crossref DOI) assignment for each published article with additional fees, citation generation tools, and full Open Access visibility to enhance global research reach and citation impact.

The INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to advance applied, theoretical, and experimental research across diverse academic and professional fields. The journal promotes global knowledge exchange among researchers, developers, academicians, engineers, and practitioners, serving as a trusted platform for innovative, peer-reviewed journal publication and scientific collaboration.

Indexing Coverage: Google Scholar, SSRN, ResearcherID-Publons, Semantic Scholar (AI-Powered Research Tool), Microsoft Academic, Academia.edu, arXiv.org, ResearchGate, CiteSeerX, ResearcherID (Thomson Reuters), Mendeley, DocStoc, ISSUU, Scribd, and many other recognized academic repositories.

How to submit the paper?

You can now publish your research in IJNRD. IJNRD is a Transparent Peer-Reviewed Open Access Journal Publication (Refereed Journal), aligning with New UGC and UGC CARE recommendations.


For more details, refer to the official notice: UGC Public Notice


Submit Paper Online

Important Dates for Current issue

Paper Submission Open For: December 2025

Current Issue: Volume 10 | Issue 12 | December 2025

Impact Factor: 8.76

Last Date for Paper Submission: Till 31-Dec-2025

Notification of Review Result: Within 1-2 Days after Submitting paper.

Publication of Paper: Within 01-02 Days after Submititng documents.

Frequency: Monthly (12 issue Annually).

Journal Type: IJNRD is an International Peer-reviewed, Refereed, and Open Access Journal with Transparent Peer Review as per the new UGC CARE 2025 guidelines, offering low-cost multidisciplinary publication with Crossref DOI and global indexing.

Subject Category: Research Area

Call for Paper: More Details

Approval, Licenses and Indexing: More Details