• G Mahesh
• K Vishnu Vardhan
• Md Abdul Imran
• A Ravi Kumar
• Dr. Subhani Shaik

Crime Is A Pervasive Problem In Modern Civilization, With A Multitude Of Crimes Being Committed On A Day-To-Day, Causing Great Unrest Among The General Populace. Preventing Crime Is Therefore An Essential Task. In Recent Times, The Significance Of Artificial Intelligence Has Been Observed In Almost Every Field, Including Crime Prediction. To Achieve This, It Is Essential To Maintain Comprehensive Data On Past Crimes, As This Info Can Be Utilized For Future Orientation. Envisaging The Likelihood Of Upcoming Crimes Can Help Law Administration Agencies Prevent Them Before They Occur, Providing Valuable Strategic Evidence Based On Factors Such As Time And Location. However, Accurately Predicting Crime Is A Challenging Task, Given The Increasing Rate At Which Crimes Are Being Committed. Therefore, The Development Of Effective Crime Prediction And Analysis Methods Is Crucial In Detecting And Reducing Future Crimes. To This End, Many Researchers Have Led Trials To Predict Crimes Using Support Vectors, Logistics Regression, Decision Trees, And Xgboost Machine-Learning Techniques.

Crime Rate Prediction, Accuracy, Machine Learning Algorithms

"CRIME DATA RATE PREDICTION USING ENSEMBLEMACHINE LEARNING ALGORITHMS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 5, page no.a277-a282, May-2024, Available :http://www.jetir.org/papers/JETIR2405035.pdf

"CRIME DATA RATE PREDICTION USING ENSEMBLEMACHINE LEARNING ALGORITHMS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 5, page no. ppa277-a282, May-2024, Available at : http://www.jetir.org/papers/JETIR2405035.pdf