Abstract

Crime prediction is an effort to cut down the crime rate and criminal activities in the society. This paper concentrates on monitoring the crime trends in India using data from 2001 to 2019. The work analyzes the crime condition in India by following a top-to bottom approach and implementing visualization and machine learning algorithms. Heat map visualization of India is done to focus on specific crime types for all states. Furthermore, various demography of human population like age-groups, sex, caste, etc., are considered to have a larger perspective of the issue. The model also suggest proactive measures based on these findings.

中文翻译：

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分析印度犯罪状况的轻量级方法研究

摘要

犯罪预测是一种减少社会犯罪率和犯罪活动的努力。本文专注于使用 2001 年至 2019 年的数据监测印度的犯罪趋势。这项工作采用自上而下的方法并实施可视化和机器学习算法来分析印度的犯罪状况。印度的热图可视化是为了关注所有州的特定犯罪类型。此外，人口的各种人口统计数据，如年龄组、性别、种姓等，被认为对这个问题有更大的看法。该模型还根据这些发现提出了积极的措施。