This paper is published in Volume-5, Issue-2, 2019
Area
Exploratory Data Analysis
Author
Rahul I., Krishna Priya Udaykumar, Leela Sai Kumar
Org/Univ
SRM Institute of Science and Technology, Chennai, Tamil Nadu, India
Pub. Date
13 April, 2019
Paper ID
V5I2-1868
Publisher
Keywords
EDA, Data mining, Visualization, Machine learning

Citationsacebook

IEEE
Rahul I., Krishna Priya Udaykumar, Leela Sai Kumar. Insightlabs next generation school automation and data analytics, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Rahul I., Krishna Priya Udaykumar, Leela Sai Kumar (2019). Insightlabs next generation school automation and data analytics. International Journal of Advance Research, Ideas and Innovations in Technology, 5(2) www.IJARIIT.com.

MLA
Rahul I., Krishna Priya Udaykumar, Leela Sai Kumar. "Insightlabs next generation school automation and data analytics." International Journal of Advance Research, Ideas and Innovations in Technology 5.2 (2019). www.IJARIIT.com.

Abstract

This project is based on a comprehensive study and research of Schools in India, where a school, even after being considered as an organization, perform and consolidate their daily operations such as Time Tabling, Communication, Attendance, Human Resource and Accounts using Files and Paperwork. It has been established that there is a growing need that these schools need to go ‘digital’. Apart from being digital, it has been found that classrooms generate a lot of data in the form of Academics, Demographic data, Attendance, Classroom Interaction, etc. This data is just given to the students and the parents in the form of a Report Card. This data is considered ‘Raw’ and useless as it just acts as a notification or information. This project helps Schools visualize and generate Insights through Data Mining and Machine Learning algorithms such as Random forests, etc.