Create README.md

Author: pratiktech28

README.md

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+[![Integration Test CI](https://github.com/pratiktech28/gprmax_integration_test/actions/workflows/integration.yml/badge.svg)](https://github.com/pratiktech28/gprmax_integration_test/actions/workflows/integration.yml)
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+<img width="412" height="122" alt="download" src="https://github.com/user-attachments/assets/0191f5d7-407a-4217-b9c4-023a624c7d1d" />            <img width="225" height="225" alt="download" src="https://github.com/user-attachments/assets/556ce370-2f83-47c5-8a2c-642ebc10e113" />
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+![download](https://github.com/user-attachments/assets/fe13b6ac-7631-4a8f-afe9-45c6aae90ab1)
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+#  gprMax Automated Integration & Fidelity Testing
+
+> **Standardizing EM Simulation Validation through Automated CI/CD & Geometric Integrity Gates.**
+
+This repository serves as the **Proof of Concept (PoC)** for the GSoC '26 proposal: "CI/CD + Physics Automation for gprMax." It bridges the gap between raw simulation output and scientific accuracy by implementing a fully automated validation pass.
+
+---
+
+## 🚀 The Core Workflow
+This project simulates a complete user workflow in a single automated pass:
+1. **Model Execution:** Dynamically provisions a Python environment to run gprMax models.
+2. **Output Extraction:** Programmatically extracts simulation results from `.out` files.
+3. **Fidelity Verification:** Compares live results against a **'Golden Reference'** dataset.
+
+## 🛠️ Key Technical Features
+
+### 1. Continuous Integration (GitHub Actions)
+The workflow doesn't just run code; it builds the environment:
+* **Dynamic Provisioning:** Automatically installs gprMax directly from the source repository.
+* **Environment Locking:** Ensures reproducibility across different runner architectures.
+
+### 2. Regression Testing (NRMSE Logic)
+To ensure scientific integrity, we implement **Normalized Root Mean Square Error (NRMSE)** calculations.
+* **Logic:** If the deviation between the live simulation and the Golden Reference exceeds the precision threshold ($\pm 0.001$m), the build fails.
+* **Goal:** Catch regressions in the simulation engine before they reach production.
+
+### 3. Geometric Fidelity
+* Automated validation of geometric models to ensure spatial accuracy in EM simulations.
+
+---
+
+## 📊 Proof of Implementation
+* **Terminal Output:** End-to-end synchronization verified between the engine and validation logic.
+* **Integration Tests:** Verifying data flow from solver to post-processor.
+
+---
+
+## 🛠️ Tech Stack
+* **Language:** Python 3.x
+* **Automation:** GitHub Actions
+* **Physics Engine:** gprMax (Source-built)
+* **Math/Stats:** NumPy (for NRMSE calculation), Matplotlib (for visualization)
+
+---
+
+## 📂 Repository Structure
+* `scripts/`: Integration and regression testing logic.
+* `.github/workflows/`: CI configuration for automated environment setup.
+* `data/`: Golden Reference datasets for validation.