The AI-Based Crime Prediction System is a machine learning-powered tool designed to analyze historical crime data and predict the likelihood of future crimes in Rwanda
# AI-Based Crime Prediction System
## Overview
The AI-Based Crime Prediction System is a machine learning-powered tool designed to analyze historical crime data and predict the likelihood of future crimes in Rwanda. This project aims to provide a data-driven approach to crime prevention and resource allocation for law enforcement agencies.
## Features
- **Data Analysis**: Analyzes historical crime data to identify patterns and trends.
- **Crime Prediction**: Develops a machine learning model to predict the likelihood of future crimes.
- **User Interface**: Provides a user-friendly interface for visualizing and interacting with the crime prediction data.
## Technology Stack
- **Programming Language**: Python
- **Data Processing**: CSV data processing
- **Machine Learning**: Various ML algorithms for prediction
- **Web Application**: Built using the Streamlit framework
## License
This project is open-source and available under the MIT License.
## Installation
To install and run the project, follow these steps:
1. Clone the repository:
```bash
git clone
github.com
```
2. Navigate to the project directory:
```bash
cd AI-Crime-Prediction
```
3. Install the required dependencies:
```bash
pip install -r requirements.txt
```
4. Run the application:
```bash
streamlit run app.py
```
## Contributing
Contributions are welcome! Please open an issue or submit a pull request for any enhancements or bug fixes.