This Python project analyzes crowd density data in Bhopal, India, and use machine learning model to predict crowd density based on various factors like weather, time of day, and day of the week.
Python installed on your system (version 3.x recommended) Basic understanding of Python and web development concepts
Clone or download the repository to your local machine. Open a terminal or command prompt and navigate to the project directory. Installation: Install the required dependencies by running the following command: Copy code pip install -r requirements.txt This command will install Flask and any other necessary libraries specified in the requirements file.
In the terminal, navigate to the project directory if you haven't already. Run the following command to start the Flask development server: Copy code python API.py Once the server starts, you should see output indicating that the server is running. By default, the Flask app will be accessible at http://127.0.0.1:5000/ or http://localhost:5000/ in your web browser.
Navigate to the URL mentioned above in your web browser to access the Flask web application. Explore the different routes and functionality provided by the application. Customize and modify the code to suit your specific requirements.
API.py: This file contains the main Flask application code, including route definitions and application configurations. templates/: This directory contains HTML templates used to render the web pages. static/: This directory contains static files such as CSS, JavaScript, and images used in the web application. requirements.txt: This file lists all the dependencies required by the Flask application.
If you'd like to contribute to this Flask template, feel free to fork the repository, make your changes, and submit a pull request.
For any issues or questions, please open an issue on GitHub or contact citytrack@gamil.com.
This Flask web application is open-source and available under the MIT License.