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Can we use Artificial Intelligence to uncover hidden patterns in police data? In today’s video, we aren't just hacking we are investigating. I’m building a "Police Violence Calculator" from scratch using real-world data and Google AI Studio. Understanding "Mortality Rate" in This Project: In traditional science, Mortality Rate usually refers to the number of deaths in a general population (like from a disease). In this app, we use it differently. We use "Mortality Rate" to calculate the Statistical Likelihood of Violence. Instead of measuring natural causes, we are measuring Risk Exposure. By combining factors like Location Density (how often incidents happen in a city) with Demographic Frequency (Age/Gender trends), we generate a Risk Score. This score tells us how statistically similar a user's profile is to the historical profiles of victims in the dataset. DISCLAIMER: This application and video are for EDUCATIONAL PURPOSES ONLY. The "Risk Scores" generated are based on a specific, limited historical dataset from 2015 and do not reflect current real-time safety levels or predict future events. This is a demonstration of data science and API prompting techniques, not a safety advisory tool. Data is Plural: https://www.data-is-plural.com/archiv... Police Killings Database: https://github.com/fivethirtyeight/da... Google AI Studio: aistuio.google.com Mortality Rate Calculator in Google AI Studio: https://ai.studio/apps/drive/1t3Cwg79... GitHub Project: https://github.com/dnorton94/Mortalit...