HARNESSING MACHINE LEARNING FOR CRIME PREDICTION AND ANALYSIS

Project ID: P25

Project Group Members:

1. Mayur Prakash Gotmare
2. Mugdha Milind Joshi
3. Prachi Madhukar Navale
4. Sidharrth Sudeish Gandhi

Overview

Context:

• Highlight the surge in crime rates in Los Angeles since 2020, attributed to economic challenges, the COVID-19 pandemic, and social unrest.

Response:

• Emphasize collaboration between law enforcement and communities to prioritize resident well-being and safety.

Strategy:

• Advocate for proactive strategies and efficient resource allocation to effectively manage rising crime rates.

Data Science and ML:

• Introduce crime prediction as a powerful tool, leveraging advanced data science and machine learning techniques.

Approach:

• Stress the importance of selecting the best classifier and creating predictive models using time series data to anticipate crime patterns.

Action:

• Encourage stakeholders to use data insights for informed decision-making, contributing to a more targeted approach in addressing crime.