Update README.md

new changes

Author: WuorBhang

6_final_presentation/README.md

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-# Final Presentation
+# Asclepios AI -- Final Presentation
+
+## Project Overview
+
+**Asclepios AI** is a data-driven treatment optimization platform
+designed for **Substance Use Disorder (SUD)**. Our solution leverages
+machine learning to predict optimal treatment duration, reduce
+recidivism, and improve resource allocation in rehabilitation
+facilities.
+
+------------------------------------------------------------------------
+
+## Problem Statement
+
+Current SUD treatment faces significant challenges:
+
+- **30% readmission rate** within one year\
+- **High recidivism** due to premature discharge\
+- **Lack of standardization** in treatment personalization\
+- **Resource mismatches** between patient needs and facility capacity
+
+------------------------------------------------------------------------
+
+## Research Question
+
+> *"How can we predict optimal treatment duration to minimize relapse
+> risk?"*
+
+------------------------------------------------------------------------
+
+## Solution: Asclepios AI Smart Recommendation
+
+Our platform provides:
+
+- **Predict Duration** -- Calculates optimal length of stay per
+    patient profile\
+- **Reduce Readmissions** -- Ensures treatment is not cut short\
+- **Optimize Resources** -- Smart allocation of beds, staff, and
+    clinical time\
+- **Personalize Care** -- Tailored recovery plans based on individual
+    data
+
+------------------------------------------------------------------------
+
+## Key Metrics & Performance
+
+  Metric                                  Performance
+  
+------------------------------------------------------------------------
+
+  **High-Risk Identification Accuracy**   75%\
+  **Duration Prediction Accuracy**        ±6 days\
+  **Demand Forecasting Accuracy**         ±2 beds\
+  **Patient Records Analyzed**            1.4M+
+
+------------------------------------------------------------------------
+
+## Presentation Contents
+
+This folder contains:
+
+- `Asclepios AI Deck p.pptx` -- Final presentation slides
+- `Asclepios AI Demo.mp4` -- Platform demonstration video
+- `README.md` -- Project overview (this file)
+- `guide.md` -- Additional guidance for reviewers
+
+------------------------------------------------------------------------
+
+## Team
+
+**Asclepios AI** is named after the Greek god of medicine and healing.
+We bring ancient wisdom into modern data-driven healthcare.
+
+- **Rafaa Ali Abdalla**
+- **Caesar Ghazi**
+- **Mohamed Alwathiq Ali**
+- **Wuor Bhang**
+
+------------------------------------------------------------------------
+
+## Repository Structure
+
+    /6_final_presentation/
+    ├── Asclepios AI Deck p.pptx   # Final presentation
+    ├── Asclepios AI Demo.mp4      # Demo video
+    ├── README.md                  # This file
+    └── guide.md                   # Reviewer guide
+
+------------------------------------------------------------------------
+
+## Impact
+
+Asclepios AI enables **data-driven personalization** that improves
+patient outcomes while optimizing facility operations---reducing
+relapse, enhancing care quality, and maximizing resource efficiency.