Progressive Web App for Educational System

April 2018
Vol-4, Issue-3
Paper ID: 8158
ISSN: 2395-4396
Downloads: 0

Abstract & Details

Research Area
Computer Engineering
Keywords
PWA Offline Background Sync Push Notification
Abstract
With the invent of Smartphone especially after the launch of Android OS which is free the popularity of using smartphone is very huge. Close to 60% user across the globe are using smartphones and the transaction are increasing day by day. Most of the users use native mobile application to browse the contents of the particular industry. Another way is to browse the contents is through web browser. But both have the limitation. The first one which is the native app, user need to download the app first and then they have to use it as per their requirement. This has major two disadvantages, one is it takes some space on local smartphone device and to operate it smoothly the network connection has to be strong. It is a very slow process to access this native app where only 2G or lesser bandwidth 3G network is available. The second approach which is through the web browsing has disadvantages as the user experience is not that great compared to native app. To overcome above limitations, Google had provided a solution through a term called as Progressive Web App (PWA) which gives you a rich experience just like native apps. You don’t require installing this PWA and can be operated through a splash screen. Our Paper majorly focuses on the building a progressive app for an educational system.

Author Information

# Name Institute / Affiliation
1 Amit Mhaske NBN Sinhgad School Of Engineering
2 Aditya Bhattad NBN Sinhgad School Of Engineering
3 Priyanka Khamkar NBN Sinhgad School Of Engineering
4 Radhika More NBN Sinhgad School Of Engineering

How to Cite

Use the following formats to cite this article in your research.

APA Style
Mhaske, Amit, Bhattad, Aditya, Khamkar, Priyanka, & More, Radhika (2018). Progressive Web App for Educational System. International Journal of Advance Research and Innovative Ideas In Education, 4(3), 662-666.
MLA Style
Mhaske, Amit, et al. "Progressive Web App for Educational System." International Journal of Advance Research and Innovative Ideas In Education, vol. 4, no. 3, 2018, pp. 662-666.
IEEE Style
Amit Mhaske, Aditya Bhattad, Priyanka Khamkar, and Radhika More, "Progressive Web App for Educational System," International Journal of Advance Research and Innovative Ideas In Education, vol. 4, no. 3, pp. 662-666, 2018.
Vancouver Style
Mhaske Amit, Bhattad Aditya, Khamkar Priyanka, More Radhika. Progressive Web App for Educational System. International Journal of Advance Research and Innovative Ideas In Education. 2018;4(3):662-666.
Harvard Style
Mhaske, Amit, Bhattad, Aditya, Khamkar, Priyanka, & More, Radhika (2018) 'Progressive Web App for Educational System', International Journal of Advance Research and Innovative Ideas In Education, 4(3), pp. 662-666.
Chicago Style
Mhaske, Amit, et al. "Progressive Web App for Educational System." International Journal of Advance Research and Innovative Ideas In Education 4, no. 3 (2018): 662-666.
Turabian Style
Mhaske, Amit, et al. "Progressive Web App for Educational System." International Journal of Advance Research and Innovative Ideas In Education 4, no. 3 (2018): 662-666.

Export Citation

Related Research

A Deep Learning-Based Framework for Mood-Oriented Music Recommendation Using Facial Expression Analysis
Vaibhav Ashok Bhangare et al. 2026 Computer Engineering
PDF Unavailable
Survey On : Intelligent Payroll and Human Resource Management Systems: A Systematic Review of Automation, Security, and Analytics
Vishakha Jadhav et al. 2026 Human Resource Management, Artificial Intelligence, Machine Learning, Payroll Systems, Cybersecurity, Business Intelligence, Robotic Process Automation, Employee Analytics, Digital Transforma
PDF Unavailable
Civic Engagement & Empowerment Platform
Supriya Dadaso Bankar et al. 2026 Computer engineering
PDF Unavailable
RAG System Development with Pydantic AI ChromaDB & Groq
Prof. Priyanka P. Kakade et al. 2026 Computer Engineering
PDF Unavailable
Machine Learning Based Early Stage Diabetes Detection System
Rohan Mulik et al. 2026 Computer Engineering
PDF Unavailable
A Survey on Skillsense:AI Career Analyzer App
Kirti Datir et al. 2026 Computer Engineering
PDF Unavailable
Employee Performance Portal
P.Harika et al. 2026 Computer science and engineering
PDF Unavailable