https://github.com/rjohnpaul/weather_predict
A Weather Prediction Model Used for Predicting weather in chennai . used data from 1991 to 2024 with over 40K records
https://github.com/rjohnpaul/weather_predict
Last synced: 3 months ago
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A Weather Prediction Model Used for Predicting weather in chennai . used data from 1991 to 2024 with over 40K records
- Host: GitHub
- URL: https://github.com/rjohnpaul/weather_predict
- Owner: RJohnPaul
- Created: 2024-09-05T15:53:00.000Z (9 months ago)
- Default Branch: main
- Last Pushed: 2025-01-28T10:48:01.000Z (4 months ago)
- Last Synced: 2025-01-28T11:34:54.325Z (4 months ago)
- Language: Python
- Homepage: https://weather-predicter.streamlit.app/
- Size: 13.2 MB
- Stars: 0
- Watchers: 1
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
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# Weatherit
A sophisticated web application that predicts rainfall in Chennai using machine learning techniques. This app provides valuable insights into rainfall patterns and offers predictions for specific dates and locations within Chennai.
# Demo
## Table of Contents
- [Features](#features)
- [Installation](#installation)
- [Usage](#usage)
- [Data](#data)
- [Model](#model)
- [App Structure](#app-structure)
- [Contributing](#contributing)
- [Credits](#credits)
- [License](#license)
## Features
- **Home**: Quick statistics and recent weather trends
- **Predictions**: Get rainfall predictions for any date (up to 500 years in the future)
- **Data Exploration**: Analyze historical rainfall data through various visualizations
- **Model Performance**: Evaluate the machine learning model's performance
- **About**: Information about the app and feedback submission
## Installation
1. Clone this repository:
```
git clone https://github.com/RJohnPaul/Weather_Predict.git
cd Weather_Predict
```
2. Create a virtual environment and activate it:
```
python -m venv venv
source venv/bin/activate # On Windows, use `venv\Scripts\activate`
```
3. Install the required packages:
```
pip install -r requirements.txt
```
## Usage
Run the Streamlit app:
```
streamlit run main.py
```
Navigate to the provided local URL in your web browser to use the app.
## Data
The app uses historical weather data for Chennai. The dataset includes the following features:
- Date
- District
- Station
- Rainfall
- Latitude
- Longitude
## Model
The rainfall prediction model is a deep neural network built with TensorFlow. It uses the following features:
- Julian date
- District (encoded)
- Station (encoded)
- Day, Month, Year
- Day of the week
- Is weekend
- Cyclical encodings of month and day
The model is trained to predict the likelihood of rainfall for a given set of inputs.
## App Structure
The app is divided into several sections:
1. **Home**: Displays quick stats and recent weather trends
2. **Predictions**: Allows users to select a date and district for rainfall predictions
3. **Data Exploration**: Provides various visualizations of the historical data
4. **Model Performance**: Shows the model's accuracy, precision, recall, and other metrics
5. **About**: Gives information about the app and allows users to submit feedback
## Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
## Credits
- John Paul: Frontend Developer
- Param Varsha: Streamlit Developer
- Karan S: Data Researcher and Analyst
## License
This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
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© 2024 Chennai Rainfall Prediction App. All rights reserved.