Weather Prediction

The Weather Prediction repository contains the code and resources for an application that predicts upcoming weather using AI models KNN and Naive Bayes.
This application is built in Python programming language using Pycharm and demonstrates advanced knowledge in Machine Learning, Data Science, and Graphical Representation.

Getting Started

To build and run this project, you need to have the following tools installed

Prerequisites

• Python 3.0 or above
• Pycharm IDE

Installation

1. Clone or download the repository to your local machine

   git clone https://github.com/Nitzantomer1998/WeatherPrediction.git

2. Open the project in Pycharm IDE
3. Run the program to predict the upcoming weather
4. You can also generate a graph that shows a comparison between models

Features

• Predicts upcoming weather using KNN and Naive Bayes AI models
• Provides different models
  • Library Based
    • K Nearest Neighbors: Uniform & Weighted
    • Naive Bayes: Estimate Gaussian Prior & 1/k Gaussian Prior
  • Code Based
    • K Nearest Neighbors: Weighted
    • Naive Bayes: Estimate Gaussian Prior
    • KNN NB Fusion: Fusion
• Generates a graph that shows a comparison between models
• The code is well-organized and commented to make it easy to understand and follow

Limitations

• The application is limited to the parameters of precipitation, temp_max, temp_min, and wind
• Some functionality may be limited due to the scope of the project
• The accuracy of the predictions depends on the quality of the input data and the models used

Future improvements

• Implement more AI models for weather prediction
• Use additional parameters for more accurate weather predictions
• Add the ability to remove or modify the input data
• Provide a user-friendly GUI for easy use and navigation
• Integrate real-time data for more accurate and up-to-date predictions
• Allow the user to customize the appearance of the generated graph
• Create a feature to predict weather for different regions and cities
• Implement a weather forecasting system that provides updates and notifications for upcoming weather changes

Support

For any questions or issues, please open an issue on the GitHub repository or contact me directly.

Contributing

I welcome contributions from the community. If you are interested in contributing to this project, please follow these guidelines

• Fork the repository and create a new branch for your changes.
• Make your changes and ensure that the code is well-documented and properly tested.
• Open a pull request and provide a clear and detailed explanation of your changes and the reasoning behind them.
• Be prepared to answer questions and address any issues or feedback on your pull request.