R-Help: An Application for Online FIR Registration System for Railways

April 2019
Vol-5, Issue-2
Paper ID: 9918
ISSN: 2395-4396
Downloads: 0

Abstract & Details

Research Area
Computer Engineering
Keywords
FIR Registration Two Way Updation RPF
Abstract
R-Help registers a complaint with minimum inputs and issues unique ID. It relays the complaint online to relevant officials for immediate action. It allows passengers to lodge complaints through mobile application and enables them to check real time feedback on the status of redressal of their complaint. There are some existing applications for the registration purpose but with some drawbacks. The proposed system tries to overcome them. Slow registration of FIR in Accidents and assault cases is one of the biggest problems of the existing system. Often the victims are told by the hospital authorities that the treatment would not be started unless an FIR has been registered. The slow registration of FIR leads to loss of precious time and other issues. We have proposed to develop a system which provides an easily accessible android mobile application. The complaints would be registered over the application. The complainant would be filling up the FIR form, he would be providing the proofs and details related to the complainant on the application. The user can upload images, and details as records. These details would then be received by the Railway Police Force (RPF). They will verify the details of the complainant and carry out further proceedings of the case. There is an option of updating the status complaint for the user as well as the RPF. Thus the entire process would be carried out online, without much manual intervention.

Author Information

# Name Institute / Affiliation
1 Kanchan Mathankar Dr babasaheb college of engineering and research
2 Aniket kalaskar Dr babasaheb college of engineering and research
3 Akanksha Bhusari Dr babasaheb college of engineering and research
4 Shital singandhupe Dr babasaheb college of engineering and research
5 Rupali Shelki Dr babasaheb college of engineering and research
6 preeti karmore Dr babasaheb college of engineering and research

How to Cite

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

APA Style
Mathankar, Kanchan, kalaskar, Aniket, Bhusari, Akanksha, singandhupe, Shital, Shelki, Rupali, & karmore, preeti (2019). R-Help: An Application for Online FIR Registration System for Railways. International Journal of Advance Research and Innovative Ideas In Education, 5(2), 1751-1756.
MLA Style
Mathankar, Kanchan, et al. "R-Help: An Application for Online FIR Registration System for Railways." International Journal of Advance Research and Innovative Ideas In Education, vol. 5, no. 2, 2019, pp. 1751-1756.
IEEE Style
Kanchan Mathankar, Aniket kalaskar, Akanksha Bhusari, Shital singandhupe, Rupali Shelki, and preeti karmore, "R-Help: An Application for Online FIR Registration System for Railways," International Journal of Advance Research and Innovative Ideas In Education, vol. 5, no. 2, pp. 1751-1756, 2019.
Vancouver Style
Mathankar Kanchan, kalaskar Aniket, Bhusari Akanksha, singandhupe Shital, Shelki Rupali, karmore preeti. R-Help: An Application for Online FIR Registration System for Railways. International Journal of Advance Research and Innovative Ideas In Education. 2019;5(2):1751-1756.
Harvard Style
Mathankar, Kanchan, kalaskar, Aniket, Bhusari, Akanksha, singandhupe, Shital, Shelki, Rupali, & karmore, preeti (2019) 'R-Help: An Application for Online FIR Registration System for Railways', International Journal of Advance Research and Innovative Ideas In Education, 5(2), pp. 1751-1756.
Chicago Style
Mathankar, Kanchan, et al. "R-Help: An Application for Online FIR Registration System for Railways." International Journal of Advance Research and Innovative Ideas In Education 5, no. 2 (2019): 1751-1756.
Turabian Style
Mathankar, Kanchan, et al. "R-Help: An Application for Online FIR Registration System for Railways." International Journal of Advance Research and Innovative Ideas In Education 5, no. 2 (2019): 1751-1756.

Export Citation

Related Research

CYBERSECURITY WITH AI
SAHANA MURTHY 2026 Computer Science
PDF Unavailable
A NOVEL HYBRID IMAGE STEGANOGRAPHY TECHNIQUE BASED ON LSB AND CRYPTOGRAPHIC SECURITY
Pankaj Nandan et al. 2026 Computer Science
PDF Unavailable
AnimalAid AI: A Deep Learning Powered Early Warning System for Detecting Skin Infections and Diseases in Stray Dogs
Sharan Subhas Savalagi et al. 2026 Computer Science and Engineering
PDF Unavailable
LiverCare AI: Intelligent Medical Imaging Platform for Liver Tumor Detection and Clinical Guidance
Sheshank et al. 2026 Computer Science and Engineering
PDF Unavailable