Leveraging AutoGPT for Crime Scene Recreation: A Detroit: Become Human AnalogyAbstract:

This paper explores the application of AutoGPT in automating crime scene recreation, drawing inspiration from the investigation stage of the game “Detroit: Become Human.” AutoGPT, akin to the game’s android detectives, generates diverse crime scene scenarios, enabling thorough exploration of multiple hypotheses. By leveraging AutoGPT, investigators simulate thousands of possibilities per second, resembling the meticulous analysis in the game. The paper presents a methodology for utilizing AutoGPT in crime scene recreation, paralleling the investigative process depicted in “Detroit: Become Human.”Introduction: “Detroit: Become Human” is a narrative-driven video game following android protagonists solving complex mysteries. The investigation stage involves meticulous crime scene analysis, evidence gathering, and narrative reconstruction.This paper proposes a methodology for automating crime scene recreation using AutoGPT. Inspired by “Detroit: Become Human,” it aims to demonstrate the potential of AutoGPT in forensic investigations by drawing parallels with the game’s investigative process.Methodology: The methodology draws from “Detroit: Become Human” and comprises:Data Collection and Analysis: Gather relevant data, including physical evidence, witness statements, and forensic reports, and analyze them to identify key factors.AutoGPT Scenario Generation: Utilize AutoGPT to generate diverse crime scene scenarios based on input data, leveraging its natural language processing capabilities.Simulation and Evaluation: Simulate each scenario, assessing coherence with evidence and feasibility. Evaluate based on predefined criteria.Refinement and Iteration: Refine scenarios based on feedback and insights, iterating to explore additional possibilities.Reporting and Documentation: Document results, including scenarios, outcomes, and analysis findings.Parallels to “Detroit: Become Human”: AutoGPT mirrors the investigative process depicted in “Detroit: Become Human,” enabling exploration and analysis akin to the game’s android detectives. It processes vast data amounts, drawing insights and generating diverse scenarios.Integration of Apple Vision Pro: Incorporating Apple Vision Pro enhances real-time crime scene analysis. Its image recognition and analysis features provide additional data directly from the crime scene. Integrated with AutoGPT, it assists in identifying evidence and anomalies efficiently, streamlining the investigation process.Conclusion: AutoGPT’s application in crime scene recreation mirrors “Detroit: Become Human’s” investigative process. By automating and enhancing crime scene analysis, it enables thorough exploration of multiple hypotheses. Integrated with Apple Vision Pro, it offers real-time data collection and analysis, opening new avenues for forensic investigations.