ASTRaL (AI-Supported Tactical Risk & Logistics System) is a defence-oriented intelligence platform designed to enhance operational awareness, logistics reliability, and convoy safety using AI-driven analytics and real-time visualization.
- 🔐 Role-based secure access (Commander, Analyst, Logistic Officer, Engineer)
- 🚚 Live convoy monitoring with risk scoring and anomaly detection
- 🗺️ Interactive tactical maps (Live tracking, Risk heatmaps, Speed analysis)
- 📊 Command-level dashboards and KPIs
- 🔧 Equipment health analytics
- 📦 Inventory monitoring and shortage prediction
- 🛡️ Security event analysis and alerts
- 📥 Exportable reports (CSV)
ASTRaL uses machine learning (Isolation Forest–based anomaly detection), simulated real-time data pipelines, and interactive dashboards to provide early warnings for operational risks.
The current implementation is a browser-based MVP; the architecture supports future conversion to a fully autonomous, air-gapped defence deployment.
- Language: Python 3.13
- Framework: Streamlit
- ML: scikit-learn (Isolation Forest)
- Visualization: Plotly, Folium
- Mapping: OpenStreetMap (via Folium)
- Security: Role-based authentication (prototype)
- Deployment: Local / Streamlit Cloud (demo)
git clone https://github.com/<your-username>/ASTRaL-Defense-Intelligence-System.git
cd ASTRaL-Defense-Intelligence-System