AI-powered analysis of large volumes of CDR/IPDR

AI-powered analysis of large volumes of CDR/IPDR

Objective

The primary aim is to build a secure, centralized, and intelligent investigation support platform that empowers police officers and investigation units with unified access to diverse data streams—including telecom, financial, and social intelligence—collected from multiple service providers. The platform is designed to leverage big data processing and advanced machine learning to surface actionable patterns, identify suspect relationships, and map organized crime networks across jurisdictions. By equipping Investigation Officers (IOs) with intuitive dashboards and real-time alerts, the system ensures timely, evidence-driven interventions. Moreover, it enhances coordination between local police stations and state-level units by offering a shared investigative workspace that promotes consistency, transparency, and agility in tackling complex cases. The platform also maintains stringent security controls and ensures full compliance with national legal frameworks and data protection regulations.

Scope

This system will support secure, role-based access via single sign-on and multi-factor authentication, enabling authorized users to initiate, track, and manage data requests through an integrated web and mobile portal. It will handle the ingestion of structured and semi-structured datasets—such as CDRs, IPDRs, and financial logs—via automated ETL pipelines and secure APIs, ensuring data integrity and consistency in a centralized data lake. Advanced analytics capabilities, including batch and real-time processing, anomaly detection, and graph-based link analysis, will be powered by scalable frameworks like Apache Spark. Outputs will be presented through customizable dashboards and interactive maps that facilitate deep-dive investigations. The platform will also interface with external intelligence tools and systems, while maintaining robust encryption, detailed audit trails, and compliance monitoring. Training, documentation, and continuous technical support are included to ensure user adoption and operational sustainability. Functions not directly related to investigation, such as legacy system overhauls or social intelligence platform development, are excluded from this scope.