LOCK CHAIN - A SYSTEM FOR INTERNAL SECURITY OF NATION USING MACHINE LEARNING

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ISSN: 2349-6002 ESTD Year: 2014

UGC approved journal no 47859

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
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