Paper Title

AI Text-To-PPT

Article Identifiers

Registration ID: IJNRD_220268

Published ID: IJNRD2405301

DOI: Click Here to Get

Authors

Pramit Kumar Rao , Sudheer Kumar , Sudhanshu Kumar Anand , Avadhesh Mauraya

Keywords

KEYWORDS — AI text to ppt, Artificial intelligence in presentation creation, GenAi, Google AI, Gemini AI Pro, Streamlit.io framework, HTML, CSS, JavaScript, Presentation automation, Natural language processing (NLP), Machine learning models for text generation, Presentation software, Productivity tools, Presentation efficiency, Time-saving technology.

Abstract

The emergence of artificial intelligence (AI) has catalyzed a profound transformation across diverse technological realms, notably content creation and presentation development. In this study, we introduce an innovative AI-powered text-to-PowerPoint (PPT) framework designed to expedite the presentation creation process. Harnessing state-of-the-art AI algorithms such as GenAi, Google AI, and Gemini AI Pro, alongside a robust software stack comprising Python, HTML, CSS, and JavaScript, our system empowers users to seamlessly convert textual input into visually captivating PowerPoint presentations in mere minutes. Moreover, we augment our system's capabilities by integrating Firebase for streamlined authentication processes. Additionally, to enhance visual richness, we incorporate the cutting-edge Unsplash API to dynamically generate images within the PowerPoint slides. This collaborative endeavor, undertaken by our multidisciplinary team affiliated with the Institute of Technology and Management, GIDA, Uttar Pradesh, India, encompasses the development, evaluation, and validation of our AI-driven solution. Our comprehensive assessment delves into the system's performance metrics, usability aspects, and its potential applications across diverse domains.

How To Cite

"AI Text-To-PPT", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.9, Issue 5, page no.d1-d6, May-2024, Available :https://ijnrd.org/papers/IJNRD2405301.pdf

Issue

Volume 9 Issue 5, May-2024

Pages : d1-d6

Other Publication Details

Paper Reg. ID: IJNRD_220268

Published Paper Id: IJNRD2405301

Downloads: 000121220

Research Area: Computer Science & Technology 

Country: Gorakhpur, Utter Pradesh, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2405301.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2405301

About Publisher

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

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

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Call For Paper - Volume 10 | Issue 8 | August 2025

IJNRD is Scholarly open access journals, Peer-reviewed, and Refereed Journals, High Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool), Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) with Open-Access Publications.

INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world. IJNRD will provide an opportunity for practitioners and educators of engineering field to exchange research evidence, models of best practice and innovative ideas.

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Paper Submission Open For: August 2025

Current Issue: Volume 10 | Issue 8

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

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

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Frequency: Monthly (12 issue Annually).

Journal Type: International Peer-reviewed, Refereed, and Open Access Journal.

Subject Category: Research Area