Climate-Cast

Climate-Cast is a web application that provides climate data analysis and prediction capabilities. The application offers temperature trend visualization, rainfall prediction, and temperature prediction features through an interactive web interface.

Features

• Temperature Analysis Dashboard

  • Visualizes temperature trends over years
  • Displays key statistics including:
    • Latest year's data
    • Current average temperature
    • Maximum and minimum temperatures

• Temperature Prediction

  • Predicts temperature based on:
    • Rainfall
    • Wind speed
    • Selected month

Technologies Used

• Backend

  • Python
  • Flask (Web Framework)
  • Pandas (Data Processing)
  • Plotly (Data Visualization)

• Frontend

  • HTML/CSS
  • JavaScript
  • Plotly.js

Installation

1. Clone the repository
2. Install the required dependencies:

pip install flask pandas plotly

3. Run the application:

python app.py

4. Open your web browser and navigate to http://localhost:5000

Project Structure

├── app.py              # Main Flask application
├── dataset.csv         # Climate data
├── static/             # Static files (CSS)
│   ├── monitor.css
│   └── styles.css
├── templates/          # HTML templates
│   ├── about.html
│   ├── base.html
│   ├── index.html
│   ├── monitor.html
│   ├── predict_rainfall.html
│   └── predict_temperature.html
└── train.ipynb         # Model training notebook

Usage

1. View Temperature Analysis

   • Navigate to the home page to view the temperature trends and statistics

2. Predict Temperature

   • Go to the Temperature Prediction page
   • Enter rainfall and wind speed
   • Select a month
   • Click "Predict Temperature" to get the prediction