🌧️ Rainfall Prediction App

🚀 Live Demo: https://rainfall-prediction-app-gwbimtwk7z8xubhxbgnqjg.streamlit.app/

A smart web application that predicts rainfall using Machine Learning and displays real-time weather data using OpenWeather API.

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🚀 Features

• 🌍 Live Weather Data (API Integration)
• 📊 Rainfall Prediction using ML Model
• 📈 Prediction Confidence Graph
• 📌 Feature Importance Visualization
• 🎨 Beautiful UI with Streamlit

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🛠️ Tech Stack

• Python
• Streamlit
• Pandas
• Scikit-learn
• Plotly
• OpenWeather API

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🌐 Deployment

This application is deployed on Streamlit Cloud and accessible via the live link above.

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⚙️ How to Run

1. Clone the repository

git clone https://github.com/harshktiwari18/Rainfall-Prediction-App.git
cd Rainfall-Prediction-App

2. Install dependencies

pip install -r requirements.txt

3. Run the app

streamlit run app.py

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🔑 API Setup

• Get API key from https://openweathermap.org/api
• Set environment variable:

API_KEY=your_api_key_here

• The app securely reads the API key using environment variables.

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📊 Model Info

• Machine Learning model trained on weather parameters

• Features used:

  • Pressure
  • Humidity
  • Cloud
  • Wind Speed
  • Wind Direction
  • Sunshine
  • Dew Point

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📌 Future Improvements

• 📍 Map-based location selection
• 📱 Mobile responsive UI
• 🤖 Advanced ML model
• 🔔 Rain alert system

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👨‍💻 Author

Kumar Harsh B.Tech ECE | Web Developer

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⭐ If you like this project, give it a star!