🌦️ Weather Type Classification WebApp

🚀 Overview

A machine learning-powered web application for predicting weather types based on various atmospheric conditions. Built using Flask and multiple ML models, this app classifies weather into Rainy ☔, Cloudy ☁️, Sunny ☀️, and Snowy ❄️.

🏗️ Features

• ✅ Uses Logistic Regression, Decision Tree, Random Forest, SVM, and KNN models.
• ✅ Web-based interface built with Flask & HTML/CSS.
• ✅ User-friendly input form for weather parameters.
• ✅ Real-time predictions.
• ✅ Interactive UI with weather-themed pages.

🖼️ Screenshots

Home Page	Prediction Output

🛠️ Tech Stack

• Frontend: HTML, CSS, JavaScript
• Backend: Flask
• Machine Learning: Scikit-Learn, Joblib, Pandas, NumPy

📂 Folder Structure

📦 Weather-Type-Classification-WebApp
├── 📂 static        # CSS, JS, and images
├── 📂 templates     # HTML files (home, results pages)
├── models       # Saved ML models (joblib/pickle format)
├── app.py          # Flask application
├── requirements.txt # Dependencies
└── README.md       # Project documentation

🔧 Installation & Usage

1️⃣ Clone the Repository

git clone https://github.com/yourusername/Weather-Type-Classification-WebApp.git
cd Weather-Type-Classification-WebApp

2️⃣ Install Dependencies

pip install -r requirements.txt

3️⃣ Run the Application

python app.py

Open the browser and go to: http://127.0.0.1:5000/

🎯 How It Works

1. Enter weather-related inputs in the web form.
2. Click "Predict" to classify the weather type.
3. The app displays the predicted weather category.

🛠️ Model Training

• The dataset is preprocessed and split into training and testing sets.
• Different ML models are trained, and the best-performing model is selected.
• The selected model is saved using joblib.

🏆 Results & Accuracy

Model	Accuracy
Logistic Regression	85%
Decision Tree	88%
Random Forest	92%
SVM	90%
KNN	87%

🤝 Contribution

Contributions are welcome! Please follow these steps:

1. Fork the repository.
2. Create a new branch.
3. Commit your changes.
4. Open a Pull Request.

📜 License

This project is licensed under the MIT License.

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Made with ❤️ by Jitesh Shelke