• Rohan Chaurasia
• Somnath Malge
• Ketan Sawalkar
• Sumit Raut
• S.R. Patil

The most common occurring problem while making PPT is time consumption as it takes time to extract important points from documents. In this study, we developed Automatic Generation of PPT. The different methodologies for Automatic PPT Generation are Fuzzy Logic, Text Mining and Natural Language Processing. Most of the methodologies in Automatic PPT Generation are having some performance issues regarding accuracy of the system, to enhance this paper purpose a novel idea of Automatic PPT Generation. The basic idea of Automatic PPT Generation system comes from the fact that due to high increase of the digital data, in depth study of the same always takes more time than of estimation. So it is hard task to gather proper points to generate PPT slides. So proposed system put forwards an idea of Automatic PPT Generation system using feature extraction by applying strong NLP protocols and then these features are classified by using fuzzy logic to get the best PPT slide points out of the given document.

Preprocessing, Fuzzy Logic, Natural Language Processing, Text Mining.

"Improving PPT Generation Technique ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.4, Issue 6, page no.70-73, June-2017, Available :http://www.jetir.org/papers/JETIR1706016.pdf

"Improving PPT Generation Technique ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.4, Issue 6, page no. pp70-73, June-2017, Available at : http://www.jetir.org/papers/JETIR1706016.pdf