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AI - DRIVEN CRIMINAL SUSPECT IDENTIFICATION AND SKETCH GENERATION

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dc.contributor.author Alzibrah, Muhammad Rifqih
dc.date.accessioned 2025-06-12T03:03:18Z
dc.date.available 2025-06-12T03:03:18Z
dc.date.issued 2024
dc.identifier.uri http://repository.president.ac.id/xmlui/handle/123456789/12954
dc.description.abstract The "AI-Driven Criminal Suspect Identification and Sketch Generation" project aims to help identify suspects and create sketches, to make criminal investigations better. The project found problems that INAFIS investigators have, like taking too long to catch suspects and solve cases because the sketches they make are not accurate. The analysis looked at the ethical and legal issues, and how to make sure AI used in criminal identification is fair and secure. The new tools will help INAFIS professionals work together more efficiently and accurately when identifying suspects. These tools include automatically creating sketches, using 3D models, and allowing real-time collaboration. The solution chosen, Alternative 3 - AI-powered Criminal Suspect Identification and Sketch Generation, matches the project's goal to make identifying criminals easier. Examples show how the AI system fits well into the way investigators work now. It gives them a helpful tool to use in their jobs. Estimating the time and resources needed for a project, including people, machines, tools, and costs, is a careful plan. It will take four months to do all the planning, research, creating, testing, making changes, and finishing the project. In short, the project thinks about the rules and laws, as well as how things work, and has a clear plan to make criminal investigations better and solve cases faster. It could change how we do things. en_US
dc.language.iso en_US en_US
dc.publisher President University en_US
dc.relation.ispartofseries Information Technologies;001202100013
dc.title AI - DRIVEN CRIMINAL SUSPECT IDENTIFICATION AND SKETCH GENERATION en_US
dc.type Thesis en_US


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