LOCK CHAIN - A SYSTEM FOR INTERNAL SECURITY OF NATION USING MACHINE LEARNING
Author(s):
Nabeel Akhtar, Shanmukh Bhutada, Amogh Bidwe, Shreyas Kamath
Keywords:
Abstract
This research paper presents a complaint management system developed for a nation's internal security affairs. The system allows for secure and anonymous reporting of concerns and complaints by citizens, with a focus on improving transparency and organizational performance. Utilizing machine learning techniques and a NoSQL database (MongoDB), the system evaluates and assigns a trust score to each complaint based on its content and the history of the user submitting it. An auto-generated report is then sent to the relevant local authority with the trust score and other relevant information. The system also includes a search function for authorized users to access all complaints in a specific area. The use of this system aims to combat corruption and improve the overall security of the nation.
Article Details
Unique Paper ID: 157906

Publication Volume & Issue: Volume 9, Issue 8

Page(s): 818 - 820
Article Preview & Download


Share This Article

Join our RMS

Conference Alert

NCSST-2023

AICTE Sponsored National Conference on Smart Systems and Technologies

Last Date: 25th November 2023

SWEC- Management

LATEST INNOVATION’S AND FUTURE TRENDS IN MANAGEMENT

Last Date: 7th November 2023

Call For Paper

Volume 10 Issue 10

Last Date for paper submitting for March Issue is 25 June 2024

About Us

IJIRT.org enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on editor@ijirt.org

Social Media

Google Verified Reviews