🇮🇳 National Critical Mineral Strategic Intelligence

Advanced Decision Support System for India’s Mineral Security

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📖 Project Overview

As India accelerates its green energy transition and high-tech manufacturing, the security of critical minerals (Lithium, Cobalt, Copper, etc.) has become a matter of national sovereignty.

This project is a Strategic Intelligence Dashboard that goes beyond traditional data visualization into policy-grade decision support.
It integrates:

• Trade data from DGCI&S
• Domestic exploration data from the Geological Survey of India (GSI)
• Hybrid AI forecasting models

to predict supply gaps, systemic risks, and geopolitical shock scenarios.

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🚀 Key Features

1. Hybrid AI Forecasting Engine

• Multi-Model Architecture
  • SARIMAX (statistical, linear trends)
  • LSTM (deep learning, non-linear patterns)
  • Hybrid model combining both
• 36-Month Forecast Horizon
  • Medium-term projections with 95% confidence intervals

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2. Geopolitical Risk Intelligence

• HHI Concentration Index
  • Quantifies supplier monopoly risk
• Strategic Vulnerability Score (SVS)
  • Composite index combining:
    • Trade dependency
    • Geopolitical risk (normalized from Fragile States Index 2024)
• Crisis Simulator
  • Real-time “What-If” analysis
  • Simulate a supply halt from any partner country and observe demand shock impact instantly

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3. National Resilience Index (The Blue Rod)

• Computes the Stockpile Survival Window
• Indicates number of days India can withstand a complete import disruption
• Directly supports contingency planning and buffer stock policy

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4. Geospatial Exploration Pipeline

• Maps 1,200+ active GSI exploration projects using Mapbox
• State-wise Exploration Intensity Chart
  • Identifies domestic mineral sovereignty frontlines

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5. Executive Intelligence Reporting

• Automated NLG Reports
  • Logic-driven summaries translating analytics into executive insights
• One-Click PDF Export
  • Multi-page strategic dossier
  • High-resolution charts and national priority rankings

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🛠️ Technical Stack

Layer	Tools
Framework	Streamlit (Midnight Intelligence Theme)
Data Science	Pandas, NumPy, SciPy (ANOVA)
Machine Learning	TensorFlow (LSTM), Statsmodels (SARIMAX), Scikit-Learn (Isolation Forest)
Visualization	Plotly Graph Objects, Mapbox
Reporting	FPDF2, Kaleido

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📂 Project Structure

File	Description
main.py	Core strategic engine: risk indices, HHI, SVS, anomaly detection
forecast_engine.py	AI forecasting engine (LSTM + SARIMAX) for 30 minerals
app.py	Streamlit dashboard, simulators, PDF export
all_minerals_merged.csv	Master DGCI&S dataset (30 critical minerals)
enriched_minerals.csv	Output with computed risk & anomaly metrics

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⚙️ Installation & Setup

1. Clone the Repository

git clone https://github.com/Mohitmhatre32/Mineral-Forecasting.git
cd Mineral-Forecasting

2. Install Dependencies

pip install -r requirements.txt

3. Run Data Pipelines (First Run Required)

python main.py
python forecast_engine.py

4. Launch the Dashboard

streamlit run app.py

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🛡️ Strategic Impact

By ranking minerals using a Sovereignty Index, policymakers can:

• Prioritize P1 (Critical) minerals
• Optimize exploration budgets
• Preempt geopolitical supply shocks
• Strengthen long-term national resilience

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📌 Use Case

Primary Users

• Government policymakers
• Strategic planners
• Trade & energy analysts
• National security think tanks

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📄 License

For academic, research, and strategic demonstration purposes.