Weather Forecasting Using Random Forest Regression in Django-Based Application

Weather forecasting is a critical aspect of daily life, influencing various sectors such as agriculture, transportation, and emergency management. The traditional methods of weather prediction often rely on complex mathematical models and vast amounts of data, which require advanced computational tools and algorithm. In recent years, machine learning (ML) has emerged as a powerful tool for improving the accuracy and efficiency of weather forecasting systems. This project aims to develop a weather forecasting system using machine learning techniques, with Python as the primary programming language and Django as the web framework for building a user friendly interface.