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Rename README_NEW.md to README.md

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  1. README_NEW.md β†’ README.md +3 -12
README_NEW.md β†’ README.md RENAMED
@@ -5,6 +5,7 @@ HaramGuard is a real-time, multi-agent decision-support system that integrates c
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  Designed for deployment at the Grand Mosque (Masjid al-Haram), the system analyzes video feeds, estimates crowd risk levels, and generates structured operational recommendations β€” while maintaining strict human-in-the-loop governance, safety guardrails, and full auditability.
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  **Capstone Project Β· Tuwaiq Academy**
 
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  **Developed by: Adeem Alotaibi, Reem Alamoudi, Munirah Alsubaie, Nourah Alhumaid
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  Supervised by: Eng. Omer Nacar**
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@@ -253,23 +254,17 @@ From the backend directory:
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  python evaluation.py
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  ```
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- Outputs are written to `backend/outputs/eval/` (and optionally `backend/outputs/plots/`). See `RUN.md` for more detail and troubleshooting.
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  ---
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  ## 9. Repository Structure
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  ```text
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- Haramguard 2/
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  β”œβ”€β”€ README.md
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- β”œβ”€β”€ README_OLD.md
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- β”œβ”€β”€ README_NEW.md
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- β”œβ”€β”€ RUN.md
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- β”œβ”€β”€ ITERATIVE_IMPROVEMENT2.md
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- β”œβ”€β”€ changes.md
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  β”œβ”€β”€ ethics_and_safety_report.txt
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  β”œβ”€β”€ backend/
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- β”‚ β”œβ”€β”€ README.md
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  β”‚ β”œβ”€β”€ config.py
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  β”‚ β”œβ”€β”€ requirements.txt
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  β”‚ β”œβ”€β”€ api.py
@@ -292,7 +287,6 @@ Haramguard 2/
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  β”‚ └── eval/
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  β”‚ β”œβ”€β”€ summary.json
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  β”‚ β”œβ”€β”€ full_results.json
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- β”‚ └── evalResults.md
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  └── frontend/
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  β”œβ”€β”€ package.json
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  β”œβ”€β”€ package-lock.json
@@ -309,7 +303,6 @@ Haramguard 2/
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  β”‚ β”œβ”€β”€ pages/
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  β”‚ β”‚ └── Dashboard.jsx
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  β”‚ β”œβ”€β”€ Fin.svg
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- β”‚ └── kaaba.svg
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  └── dist/
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  β”œβ”€β”€ index.html
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  └── assets/
@@ -428,8 +421,6 @@ If any agent fails, the pipeline continues with safe defaults:
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  - **CoordinatorAgent fails** β†’ P0 decision still issued without GPT plan
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  - **DB write fails** β†’ logged to console, pipeline continues
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- No single point of failure can silence an alert.
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-
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  ---
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  ## 12. Limitations & Future Work
 
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  Designed for deployment at the Grand Mosque (Masjid al-Haram), the system analyzes video feeds, estimates crowd risk levels, and generates structured operational recommendations β€” while maintaining strict human-in-the-loop governance, safety guardrails, and full auditability.
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  **Capstone Project Β· Tuwaiq Academy**
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+
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  **Developed by: Adeem Alotaibi, Reem Alamoudi, Munirah Alsubaie, Nourah Alhumaid
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  Supervised by: Eng. Omer Nacar**
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  python evaluation.py
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  ```
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+ Outputs are written to `backend/outputs/eval/`.
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  ---
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  ## 9. Repository Structure
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  ```text
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+ Haramguard/
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  β”œβ”€β”€ README.md
 
 
 
 
 
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  β”œβ”€β”€ ethics_and_safety_report.txt
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  β”œβ”€β”€ backend/
 
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  β”‚ β”œβ”€β”€ config.py
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  β”‚ β”œβ”€β”€ requirements.txt
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  β”‚ β”œβ”€β”€ api.py
 
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  β”‚ └── eval/
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  β”‚ β”œβ”€β”€ summary.json
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  β”‚ β”œβ”€β”€ full_results.json
 
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  └── frontend/
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  β”œβ”€β”€ package.json
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  β”œβ”€β”€ package-lock.json
 
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  β”‚ β”œβ”€β”€ pages/
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  β”‚ β”‚ └── Dashboard.jsx
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  β”‚ β”œβ”€β”€ Fin.svg
 
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  └── dist/
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  β”œβ”€β”€ index.html
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  └── assets/
 
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  - **CoordinatorAgent fails** β†’ P0 decision still issued without GPT plan
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  - **DB write fails** β†’ logged to console, pipeline continues
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  ---
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  ## 12. Limitations & Future Work