Abstract

Emergency services are highly needed for all in nowadays. Quick emergency services can save someone's life. Urgency never comes with a prior indication. In real-world scenarios, getting such services and reporting is a real challenge.  Emergency services are government agencies whose job it is to respond quickly to emergencies when they arise, including firefighters, police, medical services, blood bank service and ambulance service. These all are very essential and life-protected services for all people in society because without these services we can’t survive. We know that getting quick blood services, fire department etc. are very tough for us and we need these services which ensure urgent stabilization of the situation and transport to definitive care. In our busy life, for getting quick services we’ve made a software and for this every people will get all those essential services very easily and too fast. In this project, we have introduced a web application which provides the information of all emergency services and which can be accessed by all users 24 hours a day, 7 days a week. Some features will be available like finding nearby blood bank, medical services in whole night and from the police station to the fire department all in one place. Nowadays for this pandemic situation nobody knows when the problem will create. By this web-application everybody will get to know the all information from medical services to police station. Urgency never comes with a prior indication. We know that in real-world scenarios, survive is a big challenge for all and detecting such emergencies and reporting them is a real challenge. For society we want to provide quick emergency services and that’s why we’ve made it. So, we think this application will help all people.

Keywords

  • Class
  • Object
  • OOP
  • Abstraction
  • Interface

References

  1. "The Role of Government in a Disaster," in The Disaster Handbook 1998 National Edition, Florida, University of Florida - Cooperative Extension Service - Institute of Food and Agricultural Sciences, pp. 1-6.
  2. Fuming Shih, OshaniSeneviratne, IlariaLiccardi, Evan Patton, Patrick Meier, Carlos Castillo, “Democratizing mobile app development for disaster management ”, AIIP '13 Joint Proceedings of the Workshop on AI Problems and Approaches for Intelligent Environments and Workshop on Semantic Cities, Pages 39-42.
  3. S. Shan, L. Wang, L. Li, and Y. Chen, An emergency response decision support system framework for application in e-government, Information Technology Management 13 (2012), 411427
  4. M. Turoff, Past and future emergency response information systems, Communications of the ACM 45 (2002), 29–32
  5. D. Lorenzi, J. Vaidya, S. Chun, B. Shafiq, V. Naik, V. Atluri, and N. Adam, Community based emergency response. In Proceedings of the 14th Annual International Conference on Digital Government Research (2013) 82-91
  6. OsnatMokryn, DrorKarmi, AkivaElkayam, Tomer Teller “Help Me: Opportunistic Smart Rescue Application and System” The 11th Annual Mediterranean Ad Hoc Networking Workshop (MedHoc-Net), 2012.
  7. Official GreatCall Website. (2013, January). [Online]. Available: http://www.greatcall.com
  8. KomwitSurachat, SupasitKajkamhaeng, KasikritDamkliang, WatanyooTiprat, and aninnuchWacharanimit, “First Aid Application on Mobile Device”, International Scholarly and Scientific Research & Innovation 7(5) 2013,pp-361-366.
  9. Official ELERTS Website. (2013, January). [Online]. Available: http://elerts.com
  10. Eguchi, R. (2008, October). The Application of Remote Sensing Technologies for Disaster Management. Retrieved from www.iitk.ac.in/nicee/wcee/article/14_K004.pdf.
  11. YunusEmre Aydin (2006, May). Web Based Multi-Participant Spatial Data Entry in Crime Mapping”. Retrieved from https://etd.lib.metu.edu.tr/upload/12607250/index.pdf.
  12. Suchitra, R., Sannitha, M.L., Ravikanth, J., Anusha, G., Abhilash, B.: Location Based Online Blood Bank System. BEST Int. J. Manag. Inf. Technol. Eng. (BEST IJMITE). 3, 1–4 (2015).
  13. Jonathan, O., Azeta, A., Misra, S. Development of prepaid electricity payment system for a university community using the LUHN algorithm. Lecture Notes of the Institute of Computer Sciences, Social-Informatics and Telecommunications (2018), 204, 107-114
  14. Meshram, A., Bramhe, P., Jaronde, S., Ambatker, P.: Central Blood Bank Database With Anti GPS Mobile System. 3, 970–972 (2013).
  15. Pawar, R., Thigale, S., Walekar, P., Thakar, G., Joshi, P.D.: Optimal Facility for Location Tracking of Blood Bank and Donor. Int. Res. J. Eng. Technol. 3, 1325–1330 (2016).
  16. Debabrata Sarddar, Sandip Roy, and Rajesh Bose, “An Efficient Edge Servers Selection in Content Delivery Network Using Voronoi Diagram”, International Journal on Recent and Innovation Trends in Computing and Communication, Vol. 2, No. 8, pp 2326-2330.
  17. Dr. Debabrata Sarddar, Raktim Kumar Dey, Dr. Rajesh Bose, Dr. Sandip Roy,“ Topic Modeling as a Tool to Gauge Political Sentiments from Twitter Feeds ”,International Journal of Natural Computing Research Volume 9 • Issue 2 • April-June 2020 .IGI .
  18. Dr. Rajesh Bose, Dr. P.S.Aithal, Dr. Sandip Roy, “Survey of Twitter Viewpoint on Application of Drugs by VADER Sentiment Analysis among Distinct Countries”, International Journal of Management, Technology, and Social Sciences (IJMTS), ISSN: 2581-6012, Vol. 6, No. 1, March 2021.
  19. Sandipan Biswas, Indranil Sarkar, Prasenjit Das, Rajesh Bose, and Sandip Roy, ".Examining the Effects of Pandemics on Stock Market Trends through Sentiment Analysis", Journal of Xidian University, Vol. 14, No. 6, June 2020.
  20. Rajesh Bose, Raktim Kumar Dey, and Sandip Roy, “Sentiment Analysis on Online Product. Information and Communication Technology for Sustainable Development, pp. 559 – 569, 2020, Springer, Singapore.