🔐 Crime Rate Prediction using Machine Learning

📌 Overview

This project predicts crime rates using machine learning based on socio-economic and historical crime data. A Random Forest regression model is trained on a synthetic dataset and deployed using a Streamlit web interface.

🧠 Machine Learning Model

• Algorithm: Random Forest Regressor
• Type: Supervised Learning (Regression)
• Dataset: Synthetic crime dataset
• Evaluation Metrics: MAE, RMSE, R² Score

🗂️ Project Structure