• Kosireddi Sai Divya
• Pandranki Shanmukha Rao
• Chintagunti Dilip Kumar
• Nali Ravi Teja
• G.Rajendra Kumar

Crime analysis and prevention is a systematic approach for identifying and analyzing patterns and trends in crime. In general, while we are going out to any place it was quite normal to check for weather and traffic through network. Similarly, we can also check for the crime rate before going. Using the concept of Machine Learning, we can extract previously unknown, useful information from a structured data i.e., crime data. Predicting a crime in a particular region can be done based on the data that was collected. Using this concept, we can predict the high probability of crime rate using Decision Trees. It also provides visualization techniques to understand easily. During prediction we will undergo various techniques like Data collection, Data cleaning, Data handling, Predictive modeling, Model selection, Prediction, Visualization using Random Forest classification. With the results, we can provide identification of crime by predicting the crime rate with an improved accuracy than with other methods which will directly help police to practice and for better strategies.

Pre processing, Regression, Decision Trees, Classification, Flask.

"Predicting Crime in a particular region using Decision Trees", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 5, page no.k55-k60, May-2022, Available :http://www.jetir.org/papers/JETIR2205B08.pdf

"Predicting Crime in a particular region using Decision Trees", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 5, page no. ppk55-k60, May-2022, Available at : http://www.jetir.org/papers/JETIR2205B08.pdf