PPT GENERATION FROM REPORT
Abstract
Presentations have become an important part of work life whether you are a student or an employee or a businessman. But creating a presentation is a time consuming process. Our method aims to reduce the amount of work put into creating a presentation by automatically generating an outline or a framework of the presentation based on text input. The system is a website that will be able to read text input and create segments of text by analyzing the text and grouping sentences that belong to the same topic. Then, each of these segments will be summarised and key points will be generated. These points will be distributed over several slides. Appropriate titles will be generated for each slide based on the contents. The presentation can be exported as a .pptx file which means the user can edit the file easily and make any changes if necessary. The system uses Google App Script to generate a file with .pptx and GPT-2 NLP
model to summarise text and generate key points and to generate titles
Keywords:
Segmentation, text summarization, Key point generationPublished
Issue
Section
License
Copyright (c) 2023 International Journal on Emerging Research Areas

This work is licensed under a Creative Commons Attribution 4.0 International License.
All published work in this journal is licensed under the Creative Commons Attribution 4.0 International License (CC BY 4.0). This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
How to Cite
Similar Articles
- Remya K R, Sudhama Swaminathan R, Vishnu Sudheer, Vishnukant PK, Nevin Nelson M, Automated Voice-Controlled PowerPoint Presentation Generation System from Voice/Text Prompts , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Tintu Alphonsa Thomas, Nandana Rajagopal, Neethu Liz Shaji, Silby Elza Simon, P Sree Parvathy, Survey on Video Summarization using Extracted Audio , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- Dr Anil A R, Amit Sankar Arun, Anandhu Anilkumar, Anandu S Sivan, Anoop Manoharan, DESIGNING OF A VOICE – BASED PROGRAMMING IDE FOR SOURCE CODE GENERATION , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Meenu Harikumar, Navya Sajeev, Sayoojya Saji, Sona Sunny, Prof Thushara Sukumar, COMPARATIVE SYSTEM OF PRIVACY PRESERVING IMAGE BASED ENCRYPTION , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- Meenu Harikumar, Navya Sajeev, Sayoojya Saji, Sona Sunny, Prof.Thushara Sukumar, COMPARATIVE SYSTEM OF PRIVACY PRESERVING IMAGE BASED ENCRYPTION , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- Ansamol Varghese, Anandhu Anoj, Emil Thomas, Deepta K Sunny, Angel Thomas, TrueNews: AI Powered Detection of Manipulated Text and Images , International Journal on Emerging Research Areas: Vol. 4 No. 2 (2024): IJERA
- FATHIMA P.S, ANU ROSE JOY, ANSPIN TITUS, ANSU MARIUM SHIBU, ASNA AZEEZ, INDIAN SIGN LANGUAGE RECOGNITION USING YOLOV5 , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Manjima M A, Soumya Anand, Partial Replacement of bitumen by Plant Polymer Lignin in Bituminous Pavement , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- Mekha Jose, Jocelyn Anthony, Jose V Joseph, Joshwa Thomas, Sharon Baby Thomas, A Review of Machine Learning and Deep Learning Approaches for Offensive Text Detection , International Journal on Emerging Research Areas: Vol. 4 No. 2 (2024): IJERA
- Dr. S. Perumal Sankar, P K Renjith, Ahammed Suhail P.I, Aswathy P S, Nithya Mary K J , Sharon K J, iAssist – An Intelligent Reading Assistant for Visually Impaired , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
You may also start an advanced similarity search for this article.