AI Based FIR Filing System

Author:

Chaudhari Aniket,Amborkar Bhavesh,Deshmukh Om,Bhide Ashwini,Kamble Asmita

Abstract

In the realm of law enforcement, the accurate and timely filing of First Information Reports (FIRs) stands as a crucial step in the initiation of criminal investigations. However, this process is often fraught with challenges, ranging from the complexity of legal frameworks to the potential for inaccuracies in manual documentation. In recent years, the modernization of law enforcement practices has been propelled by advancements in technology, offering promising solutions to address these challenges. This survey paper aims to provide a comprehensive overview of the landscape of technological solutions designed to enhance FIR filing processes, with a specific focus on their application in law enforcement contexts.

Publisher

International Journal of Innovative Science and Research Technology

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Method and System for Predicting Crop Yields and Recommending Fertilizers using Machine Learning Algorithms;International Journal of Innovative Science and Research Technology (IJISRT);2024-05-25

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3