🌍 CO2 Absorption Calculator

📖 Overview

CO2 Absorption Calculator is a software tool designed to estimate carbon dioxide sequestration capabilities of [insert subject, e.g., specific tree species, chemical solvents, or industrial processes].

Developed as a Final Year Project (PFC), this application provides users with an intuitive interface to calculate absorption rates based on variable inputs such as [e.g., biomass, temperature, pressure, or surface area].

🚀 Key Features

• Dynamic Calculation: Real-time computation of CO2 absorption based on user-defined parameters.
• Data Visualization: Generates [e.g., graphs, charts] to visualize absorption trends over time.
• Export Capabilities: Allows users to export results to [e.g., CSV, PDF, Excel] for further analysis.
• Scientifically Accurate: Built using algorithms based on [cite the specific scientific model or formula used, e.g., the Allometric Equation for biomass].

🧪 Methodology / Scientific Background

Briefly explain the math or science behind your calculator.

The core calculation is based on the [Name of Method/Formula]:

$$Absorption = \alpha \times \beta \dots$$

Where:

• α (alpha) represents [Parameter 1]
• β (beta) represents [Parameter 2]

This project implements the standard guidelines provided by [Institution/Paper Name] for accurate environmental assessment.

🛠️ Installation

Prerequisites

• Python 3.8+
• pip (Python Package Manager)

Steps

1. Clone the repository

   git clone [https://github.com/tibi-tech/CO2_Absorption_Calculator_PFC.git](https://github.com/tibi-tech/CO2_Absorption_Calculator_PFC.git)
   cd CO2_Absorption_Calculator_PFC

2. Install dependencies

   pip install -r requirements.txt

3. Run the application

   python main.py

💻 Usage

1. Launch the application.
2. Input the required variables (e.g., Tree Height: 10m, Diameter: 0.5m).
3. Click Calculate.
4. View the generated absorption report in the dashboard.

🏗️ Tech Stack

• Language: Python
• GUI Framework: [e.g., Tkinter, PyQt5, Streamlit]
• Data Processing: [e.g., Pandas, NumPy]
• Visualization: [e.g., Matplotlib, Plotly]

🤝 Contributors

• [Your Name] - Lead Developer & Researcher
• [Supervisor Name] - Project Supervisor

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

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Built with ❤️ for a greener future.