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High-Level Automation on FIR System
Prof. Ravi Lanke Kumar , Nancy Kshetrimayum , Lohith Raj R Dhruv Singh Gautam , Nikhil Agrahari, Dr. Karthick ,,Raghunath. K M
Associate Professor , UG,CSE
FET, Jain
(Deemed-to-be University)
Bangalore- 562112 ravikumar.l@jainuniversity.ac.in 21btrcs188@jainuniversity.ac.in lohithrajkonemane356@gmail.com
Abstract
Filing a First Information Report (FIR) is an essential step in starting criminal investigations, but current procedures in India frequently experience manual delays, restricted accessibility, and insufficient transparency. This document presents an advanced automated FIR system that enables users to submit complaints via an online web interface, eliminating the need to go to police stations. Inspired by recent advancements in blockchain FIR systems for secure storage [1]–[3], legal regulations regarding FIR evidential importance [4], and AI-driven FIR creation with speech and NLP technologies [5], this study streamlines the procedure for citizens and law enforcement. The suggested system facilitates safe user registration, online filing of FIRs, and instant status monitoring via unique IDs. Without delving into intricate blockchain or AI integrations, it emphasizes ease of use and swift access, particularly for users in rural areas or those with mobility limitations. In contrast to hybrid blockchain-AI frameworks [6], this system emphasizes crucial automation functionalities to enhance complaint precision, lessen reliance on manual processes, and build greater trust in digital policing services. The result is a streamlined, easy-to-use solution that enhances clarity, effectiveness, and public engagement in FIR submission procedures. The system features an intuitive web-based interface that caters to both complainants and police officers, facilitating easy navigation and dependable information exchange. In contrast to models that rely heavily on blockchain or are complicated by AI, this strategy emphasizes user engagement and real-time oversight via simple digital accessibility. Dependable information exchange. In contrast to models that rely heavily on blockchain or are complicated by AI, this strategy emphasizes user engagement and real-time oversight via simple digital accessibility.
In contrast to models that rely heavily on blockchain or are complicated by AI, this strategy emphasizes user engagement and real-time oversight via simple digital accessibility. Result is a streamlined, easy-to-use solution that enhances clarity, effectiveness, and public engagement in FIR submission procedures. The system features an intuitive web-based interface that caters to both complainants and police officers, facilitating easy navigation and dependable information exchange. In contrast to models that rely heavily on blockchain or are complicated by AI, this strategy emphasizes user engagement and real-time oversight via simple digital accessibility.
Keywords
FIR automation, online complaint system, digital policing, real-time monitoring, citizen services, secure access, smart governance, FIR filing system, transparency, law enforcement technology.