Educational Campus Stack Cloud Base Real Time System |
Author(s): |
Sangram Valiba Shete , Mrutvahini College of Engineering, Sangamner; Pranal Rajaram Koli, Mrutvahini College of Engineering, Sangamner; Sharayu Jalindar Titame, Mrutvahini College of Engineering, Sangamner; Rani Somnath Abhang, Mrutvahini College of Engineering, Sangamner; Dr. B. L. Gunjal, Mrutvahini College of Engineering, Sangamner |
Keywords: |
Smart Cities, Smart Campus, Student Result Prediction, Machine Learning, Data Mining |
Abstract |
Smart Cities uses Information Communication Technology (ICT) to reinforce infrastructure parts, that provides automation and services of a city to become additional intelligent, interconnected ,communicable and efficient. Sensible field technologies harness the potential to advance everything from productivity to security measures to the operations of the buildings within which students live and study. In this project we presents a smart educational campus system with smart student authentication.A system uses the two applications, Web Application and Android Application. Web Application is use as small ERP system, and Android application mainly use for the marking attendance of the student with the help of external fingerprint device. Another important part of this project is analytics. The data is collected by past academic record of student. This data will be analyzed to provide reports on data regarding the performance of students and use of different services provided by college. In addition to overcome the disadvantages of the traditional system this fingerprint based system will add more efficiency. In earlier, traditional system consist registers and diaries to store the educational data, some human interventions are required to handle the traditional system, overcome that problems this system will work efficiently. |
Other Details |
Paper ID: IJSRDV8I40396 Published in: Volume : 8, Issue : 4 Publication Date: 01/07/2020 Page(s): 385-389 |
Article Preview |
|
|