SUTRAM 2026

Problem Statement

Building next-generation solutions where artificial intelligence meets digital investigation and forensic science.

NATIONAL HACKATHON THEME & BACKGROUND

Theme: AI-Powered Digital Investigation and Cyber Forensics Technologies for India

India is witnessing unprecedented growth in cyber-enabled crimes, including financial frauds, social media crimes, ransomware incidents, digital impersonation, deepfake-enabled offences, online radicalization, and crimes involving encrypted communication platforms. Investigating agencies and forensic laboratories are increasingly challenged by the volume, diversity, and complexity of digital evidence generated from mobile devices, cloud services, social media platforms, multimedia content, and emerging technologies.

The proposed National Hackathon aims to develop indigenous, AI-enabled cyber forensic solutions that assist Law Enforcement Agencies (LEAs), Cyber Crime Investigation Units, Forensic Science Laboratories (FSLs), and judicial stakeholders in acquisition, analysis, correlation, reconstruction, and reporting of digital evidence while maintaining forensic integrity.

AI-Assisted Mobile Evidence Intelligence Platform
Round 2 Live

SUTRAMPS01 · PROBLEM STATEMENT 1

AI-Assisted Mobile Evidence Intelligence Platform

Mobile phones constitute the primary source of evidence in cybercrime investigations. Automated parsing, deleted activity recovery, and behavioural profiling.

Multimedia Evidence Authentication, Deepfake Detection and Provenance Analysis Framework
Round 2 Live

SUTRAMPS02 · PROBLEM STATEMENT 2

Multimedia Evidence Authentication, Deepfake Detection and Provenance Analysis Framework

Reliable tools to authenticate multimedia evidence, detect AI-generated deepfakes, identify media tampering, and establish evidentiary provenance.

Digital Evidence Correlation and Crime Reconstruction Engine
Round 2 Live

SUTRAMPS03 · PROBLEM STATEMENT 3

Digital Evidence Correlation and Crime Reconstruction Engine

Automated evidence correlation platform across heterogeneous sources to construct temporal-spatial relationships and reconstruct crime scenes.

AI-Powered Cyber Fraud Investigation and Attribution System
Round 2 Live

SUTRAMPS04 · PROBLEM STATEMENT 4

AI-Powered Cyber Fraud Investigation and Attribution System

Investigate financial frauds involving UPI, mule accounts, SIM swapping, and phishing through entity resolution and transaction flow analysis.

AI-Powered Digital Investigation Assistant
Round 2 Live

SUTRAMPS05 · PROBLEM STATEMENT 5

AI-Powered Digital Investigation Assistant

Conversational forensic assistant capable of natural language evidence querying, automated case summarization, anomaly detection, and draft reports.

Final Round Demonstration Requirements

All teams reaching the final round will be required to demonstrate comprehensive technical rigor:

  • Working Prototype Functional execution of core AI & forensic modules
  • Source Code Clean, well-documented, reproducible repository
  • Documentation Forensic methodologies, setup manuals, and architecture
  • Investigation Dataset Benchmark sample data illustrating parsing and analysis
  • Cybercrime Scenario Demo Live demonstration using a realistic cybercrime scenario
  • LEA Deployment Roadmap Practical rollout strategy for police and FSL stakeholders