From 600bb155e58d46f5c8a037f9f55c8f91bd8286e8 Mon Sep 17 00:00:00 2001
From: kl3z <garcia.jasp@gmail.com>
Date: Fri, 22 May 2026 09:28:28 +0000
Subject: [PATCH] Modificar README.md

---
 README.md | 19 +++++++++----------
 1 file changed, 9 insertions(+), 10 deletions(-)

diff --git a/README.md b/README.md
index e70221d2..a1f0eee9 100644
--- a/README.md
+++ b/README.md
@@ -1,6 +1,6 @@
-# PJM/IA – Police Interview Emotion Analysis System
+# <center>PJM/IA – Police Interview Emotion Analysis System</center>
 
-## Overview
+## <center>Overview</center>
 
 PJM/IA is an intelligent support platform designed to assist criminal investigators during interviews and interrogations through multimodal emotion analysis.
 
@@ -14,7 +14,7 @@ In addition to emotion analysis, the platform automates the administrative workf
 
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-## Main Features
+## <center>Main Features</center>
 
 ### Emotion Recognition
 
@@ -45,7 +45,7 @@ In addition to emotion analysis, the platform automates the administrative workf
 
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-# System Architecture
+# <center>System Architecture</center>
 
 The application is divided into modular components:
 
@@ -87,7 +87,7 @@ The application is divided into modular components:
 
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-# Installation
+# <center>Installation</center>
 
 ## Windows Installation
 
@@ -118,7 +118,7 @@ Password: 12345
 
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-# Usage
+# <center>Usage</center>
 
 ## 1. Load Subject Information
 
@@ -168,7 +168,7 @@ to stop recording.
 
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-# Generated Output
+# <center>Generated Output</center>
 
 After processing, the system generates:
 
@@ -192,7 +192,7 @@ Example:
 
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-# Interview Analysis
+# <center>Interview Analysis</center>
 
 The system performs emotion tracking every 10 seconds and correlates:
 
@@ -204,7 +204,7 @@ This allows investigators to identify emotional variations throughout the interv
 
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-# Technologies Used
+# <center>Technologies Used</center>
 
 - Python
 - OpenCV
@@ -245,7 +245,6 @@ Human supervision and professional investigative procedures remain essential.
 - Advanced speaker diarization
 - Multi-camera support
 - AI-assisted interrogation insights
-- Deepfake detection integration
 
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