Paper Title
PREDICTION OF CRIME TRENDS AND PATTERNS USING DATA MINING APPROACHES

Abstract
The management of criminal records is crucial for law enforcement agencies, aiming to enhance detection, investigation, and conviction of offenders. In India, the current process relies heavily on manual data retrieval from Excel sheets, presenting challenges in efficiency and accessibility. To address these issues, this research introduces an Online Criminal Record Management System tailored for police stations in India. The system aims to provide comprehensive statistics on crime trends, geographical distribution, and insights for strategic decision-making for law enforcement agencies. The research uses Power BI for enhanced data visualization, NLP for improved accessibility, and predictive analytics for proactive decision-making and a web portal which can be accessible easily by law enforcement agencies only, for security and confidentiality. Keywords - Data Analysis, Data Visualization, Data Mining, Natural Language Processing, Power BI.