Forecast Mate: A Weather Forecasting App for Accurate and Real-time Weather Updates

Authors

  • Nikhil Ranjan Professor, Department of Computer Science and Engineering, Chandigarh University, Gharuan, Punjab, India.
  • Tanuja Kumari UG Student, Department of Computer Science and Engineering, Chandigarh University, Gharuan, Punjab, India.
  • Neha Gupta UG Student, Department of Computer Science and Engineering, Chandigarh University, Gharuan, Punjab, India.
  • Harsh Kumar UG Student, Department of Computer Science and Engineering, Chandigarh University, Gharuan, Punjab, India.

Keywords:

Website, Weather Forecasting app, Machine Learning, Python,Django..

Abstract

An essential function of meteorology is weather forecasting, which has historically been one of the world's most difficult scientific and technological challenges. In this study, we investigate how data mining techniques can be used to forecast wind speed, rainfall, temperature, and other weather-related variables. Complex rainfall wonders with few compliances and no historical data are a challenge to weather vaticination methods. There are many parameters in weather wonders that are impossible to count or measure. Cold-blooded systems have emerged as a result of the advent of communication technologies, which allowed rainfall cast expert systems to participate in and incorporate coffers. Since rainy vaticinations are the primary issue, these expert systems can't be entirely relied with these breakthroughs in vaticinations.

References

Published

2023-10-13