AI analysis of petitions received at PS/SP/CO to analyse the content and plan of action

AI analysis of petitions received at PS/SP/CO to analyse the content and plan of action

Objective

The AI-Based Grievance Redressal Analyser is designed to assist senior police officers in identifying low-quality grievance closures by leveraging multiple GenAI agents. It aims to automate and enhance the process of extracting discrete claims from citizen complaints, guiding investigation officers with tailored evidence checklists, evaluating the quality of responses, and determining the overall petition status. By streamlining these tasks, the system supports faster, more consistent, and higher-quality grievance resolution, enabling officers to focus on critical follow-ups and improving public trust in grievance handling.

Scope

The solution encompasses four specialized AI agents working collaboratively within a minimal user interface tailored for law enforcement workflows. It covers ingestion of digital complaints, automated claim extraction and verification by senior officers, generation of evidence checklists for investigation officers, response quality assessment, and status determination for petitions. The system supports five predefined claim categories to ensure consistency during the hackathon prototype phase. Key features include an IO petition screen for detailed claim and response management and a senior officer dashboard to monitor petition statuses and finalize case closures. Evaluation metrics focus on extraction accuracy, checklist relevance, scoring alignment, and end-to-end petition closure success.