ALL TRACKS
TRACK 032 PROBLEMS

OSINT, CYBERCRIME & THREAT ANALYSIS

Open-source intelligence, AI-weaponised crime, and digital recon tools.

Cybercrime has risen 757% in five years while just 1 in 200 complaints reaches court. This theme is about giving investigators the intelligence tooling to map criminal networks and counter AI-weaponised crime.

THE SCALE OF THE PROBLEM
757%rise in cybercrime - 2,301 complaints (2019/20) to 19,730 (2023/24)
52/daycybercrime cases registered in FY 2024/25 - more than 2 every hour
88%financial fraud growth in one year - 4,112 to 7,723 cases
3,093%TikTok-linked crime growth in 4 years - Facebook drives 72.73% of all cases
WHAT YOU CAN BUILD

GUIDING PROBLEM STATEMENTS

Each problem below is a direction, not a blueprint. Pick one, research what already exists, and build a solution that ships.

01

OSINT & criminal network intelligence

How can technology help investigators build intelligence on cybercriminal networks using open-source information - mapping actors, platforms, money flows, and connections that are hiding in plain sight?

THE NUMBERS BEHIND IT
Cases from different districts almost never linked - even from the same network
Facebook/Messenger: 72.73% of all cybercrime cases
TikTok-linked crime up 3,093% in 4 years
70% of perpetrators aged 19–30 - many recruited as money mules
Only 3 mutual legal assistance treaties internationally
Limited technical investigation experts in Nepal Police
02

AI-weaponised crime detection

How can technology detect and counter the use of AI to commit crimes - including deepfakes used for blackmail and disinformation, voice cloning for fraud, AI-generated financial fraud, and synthetic identities used to deceive victims at scale?

THE NUMBERS BEHIND IT
Financial fraud up 88% in one year - 4,112 to 7,723 cases
Deepfake incidents up 80% in 2024
AI used for voice cloning, fake profiles, synthetic documents
Automated scam bots operating across Facebook, TikTok, Telegram
52 complaints/day - investigators cannot manually review AI-generated content
No detection capability for AI-generated evidence or synthetic identities in Nepal Police
A NOTE TO PARTICIPANTS

These are directions, not blueprints.

The problem statements above are simple guides to point you in the right direction. They are not prescriptive specifications. Participants are fully encouraged to apply their own creativity, research, and analysis - as long as the solution stays within the scope of usability and feasibility for Nepal Police.

Before building, participants are strongly requested to research existing tools and resources already available in Nepal Police, to avoid duplicating something that already exists. If you cannot find relevant information, or have questions about technical constraints, legal boundaries, existing systems, or operational realities, contact the contact persons listed on this page. They will walk you through everything - from technical details to legal frameworks.

READY TO BUILD?

JOIN THE HACKATHON

Form a team of 3–4, pick a problem statement, and ship something that serves Nepal Police and the citizens of Lumbini Province.