This project aims to analyze the effect of natural disasters on the flow of remittances. Remittances are financial transfers made by individuals working in foreign countries to their home countries. The project will explore how natural disasters, such as earthquakes, hurricanes, or floods, can disrupt the remittance flow and affect the economies of the recipient countries. By analyzing historical data and using various data analysis and machine learning techniques, the project aims to provide insights into the relationship between natural disasters and remittance flow, which can be valuable for policymakers and organizations involved in disaster management and economic development.
To set up this project on your local machine, follow these steps:
- Clone the repository:
git clone 'https://github.com/PowerBIhamoye/NaturalDisasterRemittanceFlow/' - Navigate into the cloned repository:
cd NaturalDisasterRemittanceFlow - Install the required packages:
pip install -r requirements.txtORconda install --file requirements.txt
To use this project, run the main script with the command: python main.py
Contributions are welcome! Please read the contribution guidelines before making any changes.
Thanks to the Hamoye Internship Program for providing the opportunity to work on this project.
This project is part of an online internship program for learning purposes. The code in this project is licensed under the MIT License.
You are free to use and modify the code for personal and educational purposes. However, if you use any code from this project in your own projects or publications, you must properly cite the source by providing a reference to this repository.
Please note that the license only applies to the code in this repository and does not grant any rights to the datasets or other non-code assets used in the project.