Video Summarization on E- Learning Platform using Artificial Neural Network
Kahol Gaurav B.U1, G. Divya2, SP. Chokkalingam3

1Kahol Gaurav B.U, UG Scholar, SSE, Saveetha University, Kuthambakkam (Tamil Nadu), India.
2G. Divya, Assistant Professor, Department of CSE, SSE, Saveetha University, Kuthambakkam (Tamil Nadu), India.
3Dr. SP. Chokkalingam, Professor, Department of CSE, SSE, Saveetha University, Kuthambakkam (Tamil Nadu), India.
Manuscript received on 26 April 2019 | Revised Manuscript received on 08 May 2019 | Manuscript Published on 17 May 2019 | PP: 448-451 | Volume-7 Issue-6S4 April 2019 | Retrieval Number: F10910476S419/2019©BEIESP
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Abstract: Learning platform’s is far emerged to fulfil the thirst of missing knowledge, and provides ease of understanding a concept in short period of time. The E learning platform can be accessed universally via server setup allocated with static IP and domain configured using the MX record. Thus, it creates an accessibility to share knowledge across globe. After years of important research people from various enterprise are still trying summarize content, Here this paper illustrates working model of Summarization performed by NLTK tokenizer. This paper concentrates the efforts on Collaborating the Summarization model with E-learning platform. The Artificial Neural Network utilizes sparse autoencoder for voice recognition. Flex Based system underpins ideal utilization of the technology in learning field and also helps individual suffering from dyslexia overcomes the fear of learning new paradigm. Peer groups can utilize the technology of E-learning by portraying the lecture in large screen as this may reduce the effort required by instructor to teach the same for large group in different sessions consistently. The application provides 24×7 support for discussion about topics listed under each chapter.
Keywords: NLTK, E-learning, Django, Python, Summarization, Tokenizer, Modules, Modals. MP4, Mkv.
Scope of the Article: Neural Information Processing