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?
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.
Each problem below is a direction, not a blueprint. Pick one, research what already exists, and build a solution that ships.
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?
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 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.
Form a team of 3–4, pick a problem statement, and ship something that serves Nepal Police and the citizens of Lumbini Province.