|
| 1 | +# 🌍 Global Warming Forecast Tool |
| 2 | + |
| 3 | + |
| 4 | + |
| 5 | +An advanced tool for analyzing and forecasting climate trends using ARIMA and Prophet models. Designed for researchers, policy-makers, and enthusiasts, it offers interactive visualizations, scenario simulations, and insights into global warming dynamics. |
| 6 | + |
| 7 | +--- |
| 8 | + |
| 9 | +## 🚀 Features |
| 10 | + |
| 11 | +- **🔮 Time Series Forecasting:** Interactive forecasting using ARIMA & Prophet models to predict future climate trends. |
| 12 | +- **📊 Advanced Visualizations:** Dynamic visualizations including time series plots, correlation heatmaps, and more to explore climate data effectively. |
| 13 | +- **🌍 Scenario Analysis:** Simulate the potential impact of scenarios like "No Policy Change," "Carbon Neutral by 2050," and "Global Collaboration." |
| 14 | +- **📈 Data Upload & Analysis:** Upload your own datasets to explore insights, correlations, and patterns. |
| 15 | +- **📥 Download Reports:** Export your analysis in multiple formats including CSV, Excel, and PDF. |
| 16 | +- **🌐 User-Friendly Interface:** A sleek, easy-to-navigate dashboard powered by Streamlit for seamless interaction. |
| 17 | + |
| 18 | +--- |
| 19 | + |
| 20 | +## 🛠️ Technologies Used |
| 21 | + |
| 22 | +<div align="center"> |
| 23 | + <img src="https://cdn-icons-png.flaticon.com/512/5968/5968350.png" alt="Python" width="40" height="40" /> |
| 24 | + <img src="https://streamlit.io/images/brand/streamlit-logo-primary-colormark-lighttext.png" alt="Streamlit" width="120" /> |
| 25 | + <img src="https://upload.wikimedia.org/wikipedia/commons/3/37/Plotly-logo-01-square.png" alt="Plotly" width="40" height="40" /> |
| 26 | + <img src="https://altair-viz.github.io/_static/altair-logo-light.png" alt="Altair" width="40" height="40" /> |
| 27 | + <img src="https://upload.wikimedia.org/wikipedia/commons/8/84/Matplotlib_icon.svg" alt="Matplotlib" width="40" height="40" /> |
| 28 | + <img src="https://seaborn.pydata.org/_static/logo-wide-lightbg.svg" alt="Seaborn" width="120" /> |
| 29 | + <img src="https://upload.wikimedia.org/wikipedia/commons/e/ed/Pandas_logo.svg" alt="Pandas" width="100" height="40" /> |
| 30 | + <img src="https://prophetpy.readthedocs.io/en/latest/_static/prophet-logo.png" alt="Prophet" width="100" height="40" /> |
| 31 | + <img src="https://upload.wikimedia.org/wikipedia/commons/1/1d/Scikit_learn_logo_small.svg" alt="Scikit-learn" width="40" height="40" /> |
| 32 | +</div> |
| 33 | + |
| 34 | +--- |
| 35 | + |
| 36 | +## 📋 Table of Contents |
| 37 | + |
| 38 | +1. [Installation](#installation) |
| 39 | +2. [Usage](#usage) |
| 40 | +3. [Project Structure](#project-structure) |
| 41 | +4. [Features in Detail](#features-in-detail) |
| 42 | +5. [Interactive Dashboard](#interactive-dashboard) |
| 43 | +6. [Contributing](#contributing) |
| 44 | +7. [License](#license) |
| 45 | + |
| 46 | +--- |
| 47 | + |
| 48 | +## 🛠️ Installation |
| 49 | + |
| 50 | +1. Clone the repository: |
| 51 | + ```bash |
| 52 | + git clone https://github.com/ThecoderPinar/GlobalWarmingForecast.git |
| 53 | + ``` |
| 54 | +2. Navigate to the project directory: |
| 55 | + ```bash |
| 56 | + cd GlobalWarmingForecast |
| 57 | + ``` |
| 58 | +3. Install the required dependencies: |
| 59 | + ```bash |
| 60 | + pip install -r requirements.txt |
| 61 | + ``` |
| 62 | + |
| 63 | +--- |
| 64 | + |
| 65 | +## ▶️ Usage |
| 66 | + |
| 67 | +1. **Run the Application:** |
| 68 | + ```bash |
| 69 | + streamlit run app.py |
| 70 | + ``` |
| 71 | +2. **Navigate the Interface:** |
| 72 | + - **📥 Upload & Analyze Data:** Upload your dataset in CSV format to explore and analyze. |
| 73 | + - **🔮 Time Series Forecast:** Generate ARIMA & Prophet model forecasts for temperature anomalies. |
| 74 | + - **📋 Generate Reports:** Download your results in various formats, including CSV, Excel, and PDF. |
| 75 | + |
| 76 | +--- |
| 77 | + |
| 78 | +## 📂 Project Structure |
| 79 | + |
| 80 | +``` |
| 81 | +GlobalWarmingForecast/ |
| 82 | +├── app.py # Main Streamlit application |
| 83 | +├── data/ # Data files |
| 84 | +├── models/ # ARIMA & Prophet models |
| 85 | +├── requirements.txt # Dependencies |
| 86 | +├── README.md # Project documentation |
| 87 | +``` |
| 88 | + |
| 89 | +--- |
| 90 | + |
| 91 | +## 💡 Features in Detail |
| 92 | + |
| 93 | +### 🔮 Time Series Forecasting |
| 94 | +- Forecast temperature anomalies using **ARIMA** and **Prophet** models. |
| 95 | +- Visualize the results with interactive Plotly charts, allowing users to zoom, pan, and explore the trends. |
| 96 | + |
| 97 | + |
| 98 | + |
| 99 | +### 📊 Advanced Visualizations |
| 100 | +- Visualize correlation heatmaps, scatter plots, histograms, and time series trends. |
| 101 | +- Customize graphs based on different metrics and gain insights into relationships between variables. |
| 102 | + |
| 103 | +### 🌍 Scenario Analysis |
| 104 | +- Simulate different scenarios such as: |
| 105 | + - **"No Policy Change"**: Forecast the impact if current policies remain unchanged. |
| 106 | + - **"Carbon Neutral by 2050"**: Analyze the potential effects of achieving carbon neutrality. |
| 107 | + - **"Global Collaboration"**: Understand how international efforts can change climate outcomes. |
| 108 | + |
| 109 | +### 📈 Data Upload & Analysis |
| 110 | +- Upload your own datasets (CSV format) to perform interactive analysis. |
| 111 | +- Features include summary statistics, correlation matrices, and the ability to explore trends through different visualizations. |
| 112 | + |
| 113 | +--- |
| 114 | + |
| 115 | +## 📊 Interactive Dashboard |
| 116 | + |
| 117 | +The **Interactive Dashboard** offers: |
| 118 | +- **Real-Time Forecasting**: Choose different time horizons and models to see how climate trends evolve. |
| 119 | +- **Dynamic Visualizations**: Toggle between different visual elements to explore the data in depth. |
| 120 | +- **Scenario Customization**: Adjust inputs such as greenhouse gas emissions and renewable energy usage to see how predictions change. |
| 121 | + |
| 122 | + |
| 123 | + |
| 124 | +--- |
| 125 | + |
| 126 | +## 🤝 Contributing |
| 127 | + |
| 128 | +We welcome contributions! Here's how you can help: |
| 129 | +- **Fork the repository** |
| 130 | +- **Create a new branch** (`git checkout -b feature-name`) |
| 131 | +- **Commit your changes** (`git commit -m 'Add some feature'`) |
| 132 | +- **Push to the branch** (`git push origin feature-name`) |
| 133 | +- **Open a pull request** |
| 134 | + |
| 135 | +For major changes, please open an issue first to discuss what you would like to change. |
| 136 | + |
| 137 | +--- |
| 138 | + |
| 139 | +## 📜 License |
| 140 | + |
| 141 | +This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details. |
| 142 | + |
| 143 | +--- |
| 144 | + |
| 145 | +## 🌟 Show Your Support |
| 146 | + |
| 147 | +If you found this project useful, please consider giving it a ⭐ on GitHub! |
| 148 | + |
| 149 | +<div align="center"> |
| 150 | + <a href="https://github.com/ThecoderPinar/GlobalWarmingForecast"> |
| 151 | + <img src="https://img.shields.io/github/stars/your-repo/GlobalWarmingForecast?style=social" alt="GitHub Repo stars"> |
| 152 | + </a> |
| 153 | +</div> |
| 154 | + |
| 155 | +--- |
| 156 | + |
| 157 | +## 📧 Contact |
| 158 | + |
| 159 | +For any inquiries, please reach out: |
| 160 | + |
| 161 | +- **GitHub:** [@your-repo](https://github.com/your-repo) |
| 162 | +- **LinkedIn:** [Your LinkedIn](https://www.linkedin.com/piinartp) |
| 163 | + |
| 164 | +--- |
| 165 | + |
| 166 | +<div align="center"> |
| 167 | + <a href="#installation"> |
| 168 | + <img src="https://img.shields.io/badge/🔗-Go%20to%20Installation-blue" alt="Go to Installation" style="margin: 10px;"> |
| 169 | + </a> |
| 170 | + <a href="#usage"> |
| 171 | + <img src="https://img.shields.io/badge/▶️-Go%20to%20Usage-green" alt="Go to Usage" style="margin: 10px;"> |
| 172 | + </a> |
| 173 | + <a href="#contributing"> |
| 174 | + <img src="https://img.shields.io/badge/🤝-Contributing-orange" alt="Contributing" style="margin: 10px;"> |
| 175 | + </a> |
| 176 | +</div> |
| 177 | + |
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