IJCOPE Journal

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International Journal of Creative and Open Research in Engineering and Management

A Peer-Reviewed, Open-Access International Journal Supporting Multidisciplinary Research, Digital Publishing Standards, DOI Registration, and Academic Indexing.
Journal Information
ISSN: 3108-1754 (Online)
Crossref DOI: Available
ISO Certification: 9001:2015
Publication Fee: 599/- INR
Compliance: UGC Journal Norms
License: CC BY 4.0
Peer Review: Double Blind
Volume 02, Issue 6

Published on: June 2026

TEXT TO IMAGE GENERATOR PLATFORM

Aditya Kumar Swain Soubhagya Nandi

Prof. Allupati Ch. Patro

GIFT Autonomous College Bhubaneswar, Odisha, India
DOI:https://doi.org/10.55041/ijcope.v2i6.100

Article Status

Plagiarism Passed Peer Reviewed Open Access

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Abstract

The Prompt to Image Generator is an AI-powered application that converts text descriptions into realistic images. Users simply enter a prompt, and the system generates corresponding images using advanced deep learning models. The platform improves creativity, saves design time, and makes image creation accessible to everyone. It combines Artificial Intelligence, Natural Language Processing, and Image Generation technologies into a single system.

Keywords— Artificial Intelligence; Blogging Platform; Content Generation; React.js; Node.js; MongoDB; AI Assistant; Web Application

How to Cite this Paper

Swain, A. K. & Nandi, S. (2026). Text To Image Generator Platform. International Journal of Creative and Open Research in Engineering and Management, <i>02</i>(6). https://doi.org/10.55041/ijcope.v2i6.100

Swain, Aditya, and Soubhagya Nandi. "Text To Image Generator Platform." International Journal of Creative and Open Research in Engineering and Management, vol. 02, no. 6, 2026, pp. . doi:https://doi.org/10.55041/ijcope.v2i6.100.

Swain, Aditya, and Soubhagya Nandi. "Text To Image Generator Platform." International Journal of Creative and Open Research in Engineering and Management 02, no. 6 (2026). https://doi.org/https://doi.org/10.55041/ijcope.v2i6.100.

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References


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Ethical Compliance & Review Process

  • •All submissions are screened under plagiarism detection.
  • •Review follows editorial policy.
  • •Authors retain copyright.
  • •Peer Review Type: Double-Blind Peer Review
  • •Published on: Jun 07 2026
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This article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. You are free to share and adapt this work for non-commercial purposes with proper attribution.

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