SMART CLASSROOM APPLICATION

Ms.Sayali Patekar
Datta Megha College of Engineering
Airoli, Navi Mumbai
Mumbai, Maharashtra
Shila jawale
Datta Megha College of Engineering
Airoli, Navi Mumbai
shilaph@gmail.com
Ms.Pranali Kurhade
Datta Megha College of Engineering
Airoli, Navi Mumbai
Mumbai, Maharashtra

Mr.Shubham Khamkar
Datta Megha College of Engineering
Airoli, Navi Mumbai
Mumbai, Maharashtra

Dr. S. D. Sawarkar
Datta Megha College of Engineering
Airoli, Navi Mumbai
Sudhir_sawarkar@yahoo.com

Abstract—Smart phones are playing a vital role in our day to day life,especially in the field of education. A student can use his personal smart phone for carrying his softcopies of his lecture notes (as storage device), for reading the lecture notes (display device), even it is a complete encyclopaedia due to the technological inventions in smart phone area. Even though smartphones have all these educational advantages, mobile phones are banned in many educational institutions as students misuse the phones during the class, by chatting with friends, playing games.
This project involves research and survey to identify how usage of mobile phones at education institutions can be made under the control of authorities and how 1000s of lecture hours can be saved in a year using this device. We propose a mobile application which will help institution authorities to control the students’ mobile phones and attendance will be taken by the students itself for saving the time of taking attendance. Students will be forced to run this application as their attendance will be marked through this application. This will also save the lecture time to some extend and will reduce the chances of students marking proxy attendances. Authorities can configure the list of white listed applications students can use in their phones when they are inside the campus.
I. INTRODUCTION
Text summerization is the process of automatically creating compressed version of a given document preserving its information content. Automatic document summarization is an important research area in natural language processing (NLP). The technology of automatic document summarization is developing and may provide a solution to the information overload problem The process of text summarization can be decomposed into three phases: analysis, transformation, and synthesis. The analysis phase analyzes the input text and selects a few salient features. The transformation phase transforms the results of the analysis into a summary representation. Finally, the synthesis phase takes the summary represen-tation, and produces an appropriate summary corre-sponding to users’ needs. In the overall process, com-pression rate, which is defined as the ratio between the length of the summary and that of the original, is an im-portant factor that influences the quality of the summary. As the compression rate decreases, the summary will be more concise; however, more information is lost. While the compression rate increases, the summary will be larger; relatively, more insignificant information is contained. In fact, when the compression rate is 5–30%, the quality of the summary is acceptable.Text summarization can be categorized into two ap-proaches: extractive and abstractive. Extractive summa-rization methods simplify the problem of summarization into the problem of selecting a representative subset of the sentences in the original documents. Abstractive summarization may compose novel sentences, unseen in the original sources . However, abstractive approaches require deep NLP such as semantic representation, inference and natural language generation, which have yet to reach a mature stage nowadays .In Smart classroom application the main purpose is to do the interaction between the teacher and student. In this application we are creating interactive Question answering sessions like MCQ type Questions. and also include Speech to text summarization and generates informative summaries.There are many paid application but we are making general application. In this application students can perform their task online in a smart environment and send their query to the teacher . Modern technology is becoming easier for students as well as teachers to perform their task more efficiently.

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