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Research Paper | Computer Science & Engineering | India | Volume 9 Issue 4, April 2020 | Popularity: 6.4 / 10
Offline Data Streamer with Authenticated App using Raspberry Pi and Wi-Fi Module
Varun Kakkar, Pratik Chaudhary, Rajat Singh, Babita Bhagat
Abstract: In this paper, Raspberry pi based offline data streaming using Android, we used Wi-Fi router to synchronize data between Raspberry Pi and Mobile Applications (Android). Raspberry pi has inbuilt Wi-Fi and Ethernet port for the connectivity. We use memory cards as HDD in Raspberry Pi to store various kinds of data. For this system, we used a memory card of size 64 GB to store data in the system. The main purpose of this system is to serve multiple users with training videos, educational videos, educational books and college notices without using the internet. We only use Wi-Fi to connect mobile devices to the Raspberry Pi. There is no need for Internet Connection but only Wi-Fi connection is sufficient to access the data. We can even download and upload the content like training videos and educational books in and from the mobile applications in order to watch and stream them when we are not present inside the college or institute premises. The maximum number of users that can connect to the system at a time is 25. But the total number of users depends upon the router capacity and Raspberry Pi. In order to manage data (training videos, educational books and notices) we provide a control panel to the system administrator and teachers so that they can manage content at any time. We use Raspian OS for Raspberry Pi. We use the XAMPP server in the Raspberry Pi. We prefer to use Apache and MySQL server in the XAMPP. Android Studio is used for the development of Android Applications. Java is used for logic building and XML is used for user interface development of the Android Applications.
Keywords: Raspberry Pi, Android Studio, Wi-Fi
Edition: Volume 9 Issue 4, April 2020
Pages: 540 - 544
Make Sure to Disable the Pop-Up Blocker of Web Browser
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Computer Science & Engineering, India, Volume 9 Issue 7, July 2020
Pages: 1454 - 1458Heart Disease Prediction with Machine Learning Approaches
Megha Kamboj
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Computer Science & Engineering, India, Volume 7 Issue 11, November 2018
Pages: 1951 - 1955Hadoop Performance Improvement using Metadata and Securing with Oauth Token
Swapnali A. Salunkhe, Amol B. Rajmane
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Computer Science & Engineering, India, Volume 9 Issue 12, December 2020
Pages: 1 - 3Comparative Study of Conventional Desktop Computer and Compute Stick
Aadarsh Sooraj, Sooraj G.
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Computer Science & Engineering, India, Volume 3 Issue 6, June 2014
Pages: 629 - 632Review Paper on Secure Hashing Algorithm and Its Variants
Priyanka Vadhera, Bhumika Lall
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Computer Science & Engineering, India, Volume 3 Issue 6, June 2014
Pages: 2148 - 2152The Impact and Application of 3D Printing Technology
Thabiso Peter Mpofu, Cephas Mawere, Macdonald Mukosera