Climate Change Impact Analysis System in Python Projects

Climate Change Impact Analysis System Using Python

Objective

To collect and analyze climate-related data (temperature, rainfall, CO₂ emissions, sea level rise, etc.) and generate reports, predictions, and visualizations showing climate change impacts.

Technologies Used
Python
Pandas
NumPy
Matplotlib
Seaborn
Scikit-learn
Plotly (Optional)
Jupyter Notebook
System Modules
1. Data Collection Module
Import climate datasets from CSV files.
Read temperature, rainfall, CO₂ emission data.
2. Data Preprocessing Module
Handle missing values.
Remove duplicates.
Normalize data.
3. Climate Trend Analysis Module
Analyze yearly temperature changes.
Analyze rainfall variations.
Detect climate anomalies.
4. Prediction Module
Predict future temperature changes.
Forecast rainfall trends.
Machine Learning using Linear Regression.
5. Visualization Module
Temperature trend graphs.
Rainfall analysis charts.
CO₂ emission comparison.
Heatmaps and dashboards.
6. Report Generation Module
Generate climate impact reports.
Export results to PDF/Excel.

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