Indian Population Predictor

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Shivam Parasram Kale; Abhilash Anil  Kashid

Indian Population Predictor

Authors: Shivam Parasram Kale , Abhilash Anil Kashid

Unique Paper ID: 164173
Volume: 10
Issue: 12
PageNo: 1130-1133

Keywords: No Keywords Found

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.

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ISSN: 2349-6002
Volume: 10
Issue: 12
PageNo: 1130-1133

Indian Population Predictor

Available:https://ijirt.org/article?manuscript=164173

Impact Factor
8.01 (Year 2024)

UGC Approved
Journal no 47859

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