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📊 Kirov DataLab — Sovereign Data Engineering Platform

Future Project · Seeking Contributors & Funding

Kirov DataLab Banner

Status License: MIT

🚀 Vision

Kirov DataLab is a sovereign data engineering and AI analytics platform purpose-built for the African context. It processes public and private datasets to generate geospatial intelligence, economic risk maps, and population-level insights that empower governments, NGOs, and enterprises to make evidence-based decisions.

This project is actively developed and open to data scientists, engineers, and investors who understand the transformative power of clean, sovereign data infrastructure.

🧠 What It Does

Feature Description
Geospatial Mapping Interactive choropleth maps of Gauteng and SADC regions using Plotly
Economic Risk Scoring IsolationForest anomaly detection on economic indicators
Data Pipeline Automated ingestion, cleaning, and transformation of public datasets
AI Forecasting Time-series models for population, resource, and demand forecasting
Interactive Dashboard Streamlit-powered analytical interface with real-time filtering

🛠️ Tech Stack

Layer Technology
Analytics UI Streamlit, Plotly Express, Folium
Data Engineering Python, Pandas, NumPy, GeoPandas
Machine Learning Scikit-Learn (IsolationForest, RandomForest)
Geospatial Folium, Shapely, GeoJSON
CI/CD GitHub Actions (CodeQL, CI, Secret Scan)
Planned Deployment Streamlit Cloud (free tier, no billing risk)

⚠️ Deployment Note: Not yet deployed. When ready, this will be hosted on Streamlit Cloud — which has a generous free tier with zero billing risk. No Docker or cloud compute required.

🏗️ Architecture

graph TD
    Source[(Public Datasets / APIs)] -->|Ingest| Pipeline[Data Pipeline]
    Pipeline -->|Clean & Transform| Store[(Processed Data Store)]
    Store -->|Feed| Models[Scikit-Learn Models]
    Store -->|Feed| Maps[GeoPandas / Folium Maps]
    Models -->|Risk Scores| Dashboard[Streamlit Dashboard]
    Maps -->|Geospatial Layers| Dashboard
    Dashboard -->|Displays| User((Analyst / Government))
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🧪 How to Run Locally

# 1. Clone the repository
git clone https://github.com/Raphasha27/kirov-datalab.git
cd kirov-datalab

# 2. Create a virtual environment
python -m venv venv
venv\Scripts\activate   # Windows
# source venv/bin/activate  # macOS/Linux

# 3. Install dependencies
pip install -r requirements.txt

# 4. Run the Streamlit dashboard
streamlit run app.py
# Opens automatically at http://localhost:8501

# 5. Run data pipeline separately (optional)
python pipeline/ingest.py

🤝 Contributing

We need people who care about African data sovereignty:

  • 📊 Data Scientists — Improve forecasting and anomaly detection models
  • 🗺️ GIS Engineers — Expand geospatial coverage across SADC
  • 🐍 Python Developers — Optimize the data ingestion pipeline
  • 📝 Domain Experts — Public health, agriculture, urban planning data

💡 Funding & Collaboration

Kirov DataLab is the analytical backbone of Kirov Dynamics Technology. We are seeking partnerships with research institutions, government agencies, and impact investors who want to fund evidence-based African decision-making infrastructure.

Contact: Kirov Dynamics Portfolio

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