🌧️ PROJECT RAINFALL

Daily Rainfall Analysis, Visualization & Forecasting (2001–2024)

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🔹 Short Summary (CV-Friendly)

PROJECT RAINFALL is a Python-based academic data analysis project that processes long-term daily rainfall datasets, visualizes temporal patterns, and forecasts future rainfall using linear regression techniques.

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📌 Abstract (Academic Description)

This project analyzes daily rainfall data collected over multiple decades (2001–2024) to identify long-term trends and seasonal patterns. Using statistical aggregation and visualization techniques, yearly and monthly rainfall characteristics are explored. A linear regression model is applied to forecast future rainfall trends, making the project suitable for introductory climate data analysis and applied machine learning studies.

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📂 Dataset Information

The program supports both CSV and Excel formats.

Example datasets:

• Srimangal_Daily_Rainfall_CHIRPS_2001_2024.csv
• Mymensingh_Daily_Rainfall_CHIRPS_2001_2024.xlsx

Required Data Fields

The script automatically detects columns, but datasets should include:

• Date (daily resolution)
• Rainfall / Precipitation values (in millimeters)

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⚙️ Key Features

• Automatic CSV / Excel file loading
• Intelligent column auto-detection
• Data cleaning & preprocessing
• Yearly total rainfall computation
• Monthly average rainfall analysis
• Trend line visualization
• Identification of extreme rainfall years
• Future rainfall prediction using Linear Regression
• Option to save generated graphs

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📊 Output Visualizations

• Yearly Total Rainfall with Trend Line
• Average Monthly Rainfall Pattern
• Future Rainfall Forecast Plot

All images can be saved automatically in:

imageFolder/

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🧠 Forecasting Methodology

• Model: Linear Regression
• Library: scikit-learn
• Training data: Yearly total rainfall
• Output: User-defined future year predictions

⚠️ Note: The forecast is statistical and does not incorporate complex climate variables.

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🖥️ How to Run the Project

1️⃣ Clone Repository

git clone https://github.com/itzRatul/project-rainfall.git
cd project-rainfall

2️⃣ Install Dependencies

pip install numpy pandas matplotlib scikit-learn openpyxl

3️⃣ Execute Program

python rainfall_project.py

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📋 Program Menu

1) Show dataset information
2) Plot yearly total rainfall with trend line
3) Plot average monthly rainfall pattern
4) Display highest & lowest rainfall years
5) Predict future rainfall with visualization
6) Exit

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🗂️ Project Structure

project-rainfall/
│
├── rainfall_project.py
├── Srimangal_Daily_Rainfall_CHIRPS_2001_2024.csv
├── Mymensingh_Daily_Rainfall_CHIRPS_2001_2024.xlsx
├── imageFolder/
│   ├── yearly_with_trend.png
│   ├── monthly_pattern.png
│   └── forecast_5_years.png
└── README.md

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🛠️ Technologies Used

• Python
• NumPy
• Pandas
• Matplotlib
• Scikit-learn

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🎓 Academic & Practical Use

• University data analysis projects
• Climate trend exploration
• Introductory machine learning practice
• Research-oriented Python programming

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🚀 Future Enhancements

• Seasonal (monsoon-based) analysis
• Advanced forecasting models (ARIMA, LSTM)
• Multi-location comparative studies
• Interactive dashboard using Streamlit

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👤 Author

Md. Ratul Hossen
BSc in Computer Science & Engineering
Daffodil International University

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⭐ If you find this project useful, please give it a star on GitHub.