Open Crime Analysis

An application for analysing crime and predicting them in a particular area by the use of data visualization

View Demo · Documentation · Report Bug · Request Feature

📔 Table of Contents

• About the Project

  • Screenshots
  • Tech Stack
  • Features

• Getting Started

  • Run Locally

• Usage

• Roadmap

• Contributing

  • Code of Conduct

• Contact

🌟 About the Project

📷 Screenshots

👾 Tech Stack

𝗛𝗧𝗠𝗟5	𝗖𝗦𝗦3	Flask	Python

🎯 Features

• Dashboard for easily navigating through the desired areas.
• Heatmaps for better understanding of crime rates.
• You can also find the type of crime happended in that place.

🧰 Getting Started

🏃 Run Locally

1. Open VSCode
2. Copy the given command

git clone https://github.com/upes-open/OSC-Crime-Analysis-and-Prediction

3. To start flask server use

flask command or python -m flask 

4. You can also right click on the server.py page select run command in terminal
5. Application is working now.

👀 Usage

Today the crime rate is rising day by day. The government's efforts are directed at raising the crime rate using data mining, which would be a grade field of application with high data set volume. It has provinces that its technique to take advantage of historical data would have the police department analyzing the data and extracting information from it. This information can be further used for visualization, helping us in solving the problem further.

127.0.0.1_5000_.-.Google.Chrome.2022-11-06.16-27-56.mp4

👋 Contributing

Contributions are always welcome!

1. Fork the Project
2. Create your Feature Branch (git checkout -b AmazingFeature)
3. Commit your Changes (git commit -m 'Add some AmazingFeature')
4. Push to the Branch (git push origin AmazingFeature)
5. Open a Pull Request

📜 Code of Conduct

Please read the Code of Conduct

🤝 Contact

UPES OPEN Community - official website

Project Link: https://github.com/upes-open/Open-Crime-Analysi