• G.Rohini Phaneedra Kumari
• K. Baranitharan
• Yadlapalli Sai Priya
• Mundru Sowjanya
• Kusam Lakshmi Pujitha ,Gaddhe Keerthi

The paper aims to explore the application of machine learning in analysing crime data and developing predictive models to better understand and address crime in urban environments. The abstract emphasizes crime as a socio-economical problem affecting life quality and economic growth, with factors like education, poverty, employment, and climate influencing crime rates. The paper aims to contribute to the field of crime analysis through the integration of machine learning and data analysis methodologies. Crime data analysis is crucial for understanding crime patterns, predicting future trends and informing law enforcement strategies. This project integrates machine learning algorithms and Django framework to develop a predicative crime analytics.

Crime rates, machine learning, and data analysis.

"Crime Data Analysis Using Machine Learning And Django", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 11, page no.237-246, November-2024, Available :http://www.jetir.org/papers/JETIRGO06023.pdf

"Crime Data Analysis Using Machine Learning And Django", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 11, page no. pp237-246, November-2024, Available at : http://www.jetir.org/papers/JETIRGO06023.pdf