Predict Migration using Machine Learning
Migration prediction plays a crucial role in understanding global movement patterns and assisting policymakers in planning for demographic changes. This project aims to analyze historical migration data and predict future migration trends based on various factors such as country, citizenship, and year. The application uses machine learning models to provide accurate predictions by identifying patterns in migration data. The GUI enables users to input relevant details and obtain migration forecasts, which can aid in decision-making for governments, researchers, and policymakers. By leveraging machine learning, this system enhances the accuracy of migration predictions and helps in better planning and resource allocation.
Authors
- M. Vidhya (ORCID: https://orcid.org/0000-0002-9929-9852)
- Govardhan Yapamanu -
- Krishna Reddy Thugutla -
- Vamsi Undela -
- Mrs.R. Selvameena -
Publication Details
- Journal
- International Journal on Science and Technology
- Published
- 2025-03-21
- DOI
- https://doi.org/10.71097/ijsat.v16.i1.2612
- Citations
- 1
- Primary Topic
- Human Mobility and Location-Based Analysis
- Type
- article
- Field-Weighted Citation Impact
- 2.18