Journal of Soft Computing Paradigm
IRO Journals
Volume 5 — Issue 3 — September 2023

Real-Time Rainfall Prediction in Kathmandu, Kapan Area using Sensor Data with Machine Learning and Linear Regression

https://doi.org/10.36548/jscp.2023.3.004
Biplov Paneru
Department of Electronics & Communication Engineering, Pokhara University, Kathmandu, Nepal
Bishwash Paneru
Department of Applied Science & Engineering, Tribhuvan University Institute of Engineering, Lalitpur, Nepal
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How to Cite

Paneru, Biplov, and Bishwash Paneru. 2023. “Real-Time Rainfall Prediction in Kathmandu, Kapan Area Using Sensor Data With Machine Learning and Linear Regression”. Journal of Soft Computing Paradigm 5 (3): 266-86. https://doi.org/10.36548/jscp.2023.3.004.
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Keywords

— Rainfall
— Linear Regression
— humidity
— Raspberry pi
— Mean absolute error
Published: 12-10-2023

Abstract

The rainfall in the Kapan area is one of the most challenging aspects due to flooding in many parts of the area. The rainfall in the area of Milanchowk, Kapan, Nepal is one of the most challenging aspects that all the researchers, engineers, and geologists are trying to figure out. The research work is simply forecasting the weather and predicting it using machine learning techniques. The data from nearly half a month is collected in real time using sensor data through raspberry pi computer, and then the data is cleaned and processed for linear regression model-based precipitation. The work is carried out with a case study of the area, with appropriate steps taken to monitor in real-time and process the data accordingly.

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