Python • Git & GitHub • Pandas • SIG / QGIS • Cartographie • Analyse de données

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🧩 Build the idea. Connect the data. Test the model. Improve the system.

GreenPulse is a Science & Engineering project exploring how geographic, environmental and technical data can be combined to identify areas with interesting renewable energy potential.

The project was built as a practical way to connect programming, data analysis, GIS and renewable energy concepts.

Think of GreenPulse like building with LEGO:

🧩 Each parameter is a piece
🔗 The model connects the pieces
🧪 The system is tested
📊 The results are analyzed
⚙️ The model can then be improved

The goal is not simply to display data, but to understand how different parameters interact in a simplified engineering model.

GreenPulse evaluates several parameters that can influence renewable energy potential:

These parameters are combined into a simplified potential score /100.

GreenPulse includes an interactive map to visualize the analyzed areas.

Users can:

• 📍 Explore geographic locations
• 🗺️ Visualize potential areas
• 🔎 Select individual zones
• 📊 Compare scores
• 🔍 Filter results
• 📋 Inspect the underlying data

Geographic information is handled using GeoJSON and GIS concepts.

GreenPulse follows a simplified data-driven workflow:

🌍 Geographic Data ↓ 📊 Data Processing ↓ 🔬 Parameter Analysis ↓ ⚙️ Weighted Model ↓ 📈 Potential Score ↓ 🗺️ Interactive Visualization ↓ 💡 Engineering Interpretation

Version 3 introduces a geographic information component using GeoJSON and GIS tools.

The geographic data are converted into spatial points and displayed on an interactive map, allowing different areas to be visualized and compared.

• Renewable energy potential score
• Geographic data processing
• Interactive GIS map
• Area selection
• Potential classification
• Data filtering
• Comparison of different zones
• Data table and visualization

GreenPulse uses a simplified weighted scoring model to combine different geographic and environmental parameters.

The current model is an educational prototype, not a real engineering energy assessment. Real-world analysis would require validated solar, climatic, topographic, building and electrical-grid data.

Python Streamlit Pandas GeoJSON Folium GIS SAGA GIS

The objective of GreenPulse is to demonstrate how programming, geographic information and scientific data analysis can be combined to study a real-world renewable energy problem.

Version 3 — GIS integration and spatial visualization

A Python application designed to retrieve and display meteorological information using an external weather API.

The project helped me practice:

• API integration
• Data retrieval
• Python programming
• Graphical interfaces
• Processing external data

Python PyQt OpenWeather API

A separate Python project focused on interactive cartography and geographic data visualization.

The project allows geographic information to be displayed and explored through an interactive map.

• 📍 Geographic location of data
• 🗺️ Interactive map
• 🔎 Exploration of different locations
• 📊 Geographic data visualization
• 🌍 Spatial data handling

Python GIS Interactive Mapping

To learn how geographic data can be processed and transformed into interactive visualizations.

A Python project designed to evaluate password strength according to several security criteria.

The application checks characteristics such as:

• Password length
• Character variety
• Uppercase and lowercase letters
• Numbers
• Special characters

This project helped me understand basic programming logic, validation, conditions, and cybersecurity concepts.

Python

I'm currently developing my skills in:

• Python programming
• GIS and cartography
• Data analysis
• Geographic data processing
• Renewable energy concepts
• Scientific computing
• Git and GitHub

I want to continue developing projects at the intersection of:

Science + Technology + Geography + Environment

My long-term interest is in using technical and computational tools to work on environmental and renewable energy problems.

🌱 Improving GreenPulse
🗺️ Exploring GIS and geographic data
🐍 Strengthening my Python skills
📊 Learning more about data analysis
⚡ Exploring renewable energy technologies