Indian Population Predictor
Author(s):
Shivam Parasram Kale , Abhilash Anil Kashid
Keywords:
Abstract
Given that India is among the most populous nations on earth, planning and policy-making must take population dynamics into account. Using historical data from vital statistics and census records, this study creates a strong prediction model to estimate India's population increase. The research examines how changes in migration, birth rates, and other demographic factors affect population fluctuations. The project trains and improves models using a variety of machine learning algorithms, such as time-series and regression methods, to produce precise population projections for both short- and long-term periods. It also creates scenario models based on future assumptions and investigates how sensitive projections are to changes in certain variables. The project will produce accurate population forecasts, a list of the main factors influencing population growth, as well as reports and visualizations.
Article Details
Unique Paper ID: 164173

Publication Volume & Issue: Volume 10, Issue 12

Page(s): 1130 - 1133
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