State of the Art Technologies to Broadcast Epidemic Awareness using Web Crawling

Authors

  • Dhanalakshmi R Dept. of Computer Science and Engineering, KCG College of Technology, Anna University, Chennai, India
  • Suprajah S Dept. of Computer Science and Engineering, KCG College of Technology, Anna University, Chennai, India
  • Swetha S Dept. of Computer Science and Engineering, KCG College of Technology, Anna University, Chennai, India
  • Vaishnavi Kanna S Dept. of Computer Science and Engineering, KCG College of Technology, Anna University, Chennai, India

DOI:

https://doi.org/10.26438/ijcse/v6si3.127131

Keywords:

E-health, firebase cloud messaging, firestore, web scraper, parsehub

Abstract

The main aim is to survey all the necessary papers that helps in building a system that spreads awareness among the people during an epidemic to reduce its severity by giving them general information regarding the epidemic diseases and predictions about its severity. There is no proper information among the public regarding the symptoms, precautions and treatment information of any epidemic disease during its spread which leads to unnecessary panic among the public. An android application specially tailored to provide prompt information to the public during the spread of an epidemic disease will be an efficient solution to diminish its spread. This application uses state of the art technology like firebase cloud messaging, firestore, python web scraper and parsehub to accomplish its goal. Thus, the proposed system has all the necessary features to create appropriate awareness among the public during the spread of any epidemic thereby reducing unwanted panic leading to reduction in the severity of the disease.

References

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Published

2025-11-13
CITATION
DOI: 10.26438/ijcse/v6si3.127131
Published: 2025-11-13

How to Cite

[1]
R. Dhanalakshmi, S. Suprajah, S. Swetha, and S. Vaishnavi Kanna, “State of the Art Technologies to Broadcast Epidemic Awareness using Web Crawling”, Int. J. Comp. Sci. Eng., vol. 6, no. 3, pp. 127–131, Nov. 2025.