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commit 6cfcbc171a27ba9d2cc7593cc05200f73f5b5b76
Author: root <root@sand.scroll.pub>
Date: Wed Sep 11 19:17:57 2024 +0000
Updated new.scroll
diff --git a/new.scroll b/new.scroll
new file mode 100644
index 0000000..e69de29
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commit 0ae41c86cc4190b502cd5a78b8ce161e0dea35f7
Author: root <root@sand.scroll.pub>
Date: Wed Sep 11 19:17:37 2024 +0000
Updated index.scroll
diff --git a/index.scroll b/index.scroll
index 249202d..60e4af1 100644
--- a/index.scroll
+++ b/index.scroll
@@ -1,151 +1,56 @@
-<!DOCTYPE html>
-<html lang="en">
-<head>
- <meta charset="UTF-8">
- <meta name="viewport" content="width=device-width, initial-scale=1.0">
- <title>Rail Madad Complaint Management</title>
- <style>
- body {
- font-family: Arial, sans-serif;
- line-height: 1.6;
- margin: 0;
- padding: 0;
- background-color: #f4f4f4;
- }
- .container {
- max-width: 1200px;
- margin: auto;
- padding: 20px;
- background-color: white;
- box-shadow: 0 2px 10px rgba(0, 0, 0, 0.1);
- }
- h1, h2 {
- color: #333;
- }
- .scroll {
- max-height: 500px;
- overflow-y: auto;
- padding: 10px;
- background-color: #e9e9e9;
- border: 1px solid #ccc;
- margin-bottom: 20px;
- }
- .scroll::-webkit-scrollbar {
- width: 8px;
- }
- .scroll::-webkit-scrollbar-thumb {
- background-color: #888;
- }
- .scroll::-webkit-scrollbar-thumb:hover {
- background-color: #555;
- }
- a {
- color: #007bff;
- text-decoration: none;
- }
- a:hover {
- text-decoration: underline;
- }
- </style>
-</head>
-<body>
-
-<div class="container">
- <h1>System of Passenger Grievance Management: The Rail Madad App</h1>
- <div class="scroll">
- <h2>Overview</h2>
- <p>Indian Railways launched the Rail MADAD app on June 11th, 2018.</p>
-
- <h2>What does it do:</h2>
- <ul>
- <li>Instantly issues a unique ID to the passenger.</li>
- <li>Relays the complaint to the relevant department immediately.</li>
- <li>The action taken is conveyed to the passenger through SMS which fast-tracks the entire process and ensures a quick redressal.</li>
- <li>Provides various helpline numbers such as security or child helpline numbers.</li>
- <li>Collects feedback from passengers to help the Railways measure areas of improvement.</li>
- </ul>
- <p><b>139</b> - Rail MADAD helpline</p>
- <p>The Railway Passenger Grievance Redressal and Management System (RPGRAMS) integrates all passenger complaints coming from 14 offline/online modes into a single platform.</p>
-
- <h2>Process Behind the Complaint</h2>
- <ul>
- <li>Complaints first go to the central server in Delhi.</li>
- <li>They are segregated as per location and sent to the respective area.</li>
- <li>From there, the department assigns a person to resolve the issue.</li>
- </ul>
-
- <h2>Types of Complaints in Rail Madad</h2>
- <ul>
- <li>Medical Assistance – Immediate attention to health emergencies.</li>
- <li>Security – Ensuring passenger safety.</li>
- <li>Facilities for Women with Special Needs – Immediate assistance for women with special needs.</li>
- <li>Divyangjan Facilities – Ensuring safety and accessibility for differently-abled passengers.</li>
- <li>Corruption/Bribery – Addressing corruption and unethical practices.</li>
- <li>Electrical Equipment – Resolving malfunctioning electrical systems.</li>
- <li>Coach Cleanliness – Ensuring hygienic conditions.</li>
- <li>Punctuality – Addressing delays.</li>
- <li>Water Availability – Maintaining water supply for passengers.</li>
- <li>Coach Maintenance – Resolving minor comfort-related issues.</li>
- <li>Staff Behaviour – Improving staff conduct.</li>
- <li>Catering & Vending Services – Ensuring food and drink availability.</li>
- <li>Bed Roll – Comfort-related issues with bedding.</li>
- <li>Miscellaneous – Other issues not classified.</li>
- </ul>
-
- <h2>Improvements with AI</h2>
- <p>AI can enhance the Rail Madad complaint resolution process, especially when complaints are submitted with photos, videos, or audio. Here's how:</p>
-
- <h3>Expected AI-Based Solution</h3>
- <ol>
- <li><b>Automated Categorization and Prioritization:</b>
- <ul>
- <li>Image and Video Analysis – Use AI-powered recognition to categorize complaints (e.g., cleanliness, staff behavior).</li>
- <li>Urgency Detection – AI assesses severity and prioritizes critical complaints.</li>
- </ul>
- </li>
- <li><b>Enhanced Data Extraction:</b>
- <ul>
- <li>Text Recognition (OCR) – Extract text from images or videos for more context.</li>
- <li>Metadata Analysis – Use timestamps and location data for quicker resolution.</li>
- </ul>
- </li>
- <li><b>Automated Response and Routing:</b>
- <ul>
- <li>AI Chatbots – Provide instant responses and route complaints efficiently.</li>
- <li>Smart Routing – AI directs complaints to the appropriate department based on content.</li>
- </ul>
- </li>
- <li><b>Predictive Maintenance:</b>
- <ul>
- <li>Issue Prediction – Use machine learning to identify recurring issues for proactive maintenance.</li>
- </ul>
- </li>
- <li><b>Feedback and Continuous Improvement:</b>
- <ul>
- <li>Sentiment Analysis – Analyze feedback for areas of improvement.</li>
- <li>Performance Monitoring – Track resolution speed and satisfaction through AI analytics.</li>
- </ul>
- </li>
- <li><b>Training and Support:</b>
- <ul>
- <li>AI-Assisted Training – Tools to help staff analyze and resolve complaints effectively.</li>
- <li>Resource Allocation – Dynamic allocation of resources based on complaint patterns.</li>
- </ul>
- </li>
- <li><b>Evaluation Criteria:</b>
- <ul>
- <li>Accuracy of AI-powered complaint detection.</li>
- <li>Speed of complaint resolution.</li>
- <li>User experience and satisfaction.</li>
- <li>Scalability and integration with the current system.</li>
- </ul>
- </li>
- </ol>
-
- <h2>Related Link</h2>
- <p><a href="https://github.com/Geetansh-Aditya/RailMadad-web">Rail Madad Web App</a> - Django-based webpage for testing.</p>
- </div>
-</div>
-
-</body>
-</html>
+title Enhancing Rail Madad with AI-Powered Customer Support
+
+header.scroll
+
+css
+ html {font-size: var(--base-font-size, 18px);}
+
+wideColumn
+printTitle
+br
+AI-Powered Complaint Management System for Rail Madad
+center
+ Enhancing customer service for Indian Railways using Generative AI technologies
+class scrollButton AI-Powered Rail Madad
+br
+
+mediumColumns 1
+
+## Problem Statement
+
+Rail Madad is a customer complaint platform that aims to assist passengers by resolving issues during their travel. However, the manual handling of complaints can be time-consuming, leading to delayed resolutions and lower customer satisfaction.
+
+---
+
+## Solution Proposal
+
+Using AI-powered tools such as Generative AI for chatbots, image, and video analysis, sentiment analysis, and Optical Character Recognition (OCR), the system can be enhanced to automate the management of customer complaints efficiently.
+
+---
+
+## Key Technologies
+
+1. **Chatbots**: AI-driven bots can interact with passengers to quickly collect complaint details, provide information, and suggest immediate solutions.
+2. **Image and Video Analysis**: AI tools can scan images and videos provided by passengers for quicker identification of issues (e.g., cleanliness or seat conditions).
+3. **Sentiment Analysis**: This tool can prioritize complaints based on urgency and severity by analyzing the tone of text submissions.
+4. **OCR**: OCR technology can automatically extract text from scanned documents or images provided by passengers, speeding up the review process.
+
+---
+
+## Dashboard Example
+
+dashboard
+ #1 Complaints Resolved Today
+ 1200 Complaints
+ 85% Satisfaction Rate
+
+---
+
+## Future Enhancements
+
+- **Real-Time Notifications**: Passengers receive live updates on the status of their complaints.
+- **Data Analytics**: The system uses AI to generate reports and analyze common complaint types to improve services proactively.
+
+endColumns
+
+footer.scroll
------------------------------------------------------------
commit 1689dd952c969675ffeb48ffc5e68f955c01cf58
Author: root <root@sand.scroll.pub>
Date: Wed Sep 11 19:12:48 2024 +0000
Updated index.scroll
diff --git a/index.scroll b/index.scroll
index 86c509e..249202d 100644
--- a/index.scroll
+++ b/index.scroll
@@ -1,7 +1,151 @@
-title Hello world
-
-header.scroll
-
-Welcome to my folder.
-
-scrollVersionLink
+<!DOCTYPE html>
+<html lang="en">
+<head>
+ <meta charset="UTF-8">
+ <meta name="viewport" content="width=device-width, initial-scale=1.0">
+ <title>Rail Madad Complaint Management</title>
+ <style>
+ body {
+ font-family: Arial, sans-serif;
+ line-height: 1.6;
+ margin: 0;
+ padding: 0;
+ background-color: #f4f4f4;
+ }
+ .container {
+ max-width: 1200px;
+ margin: auto;
+ padding: 20px;
+ background-color: white;
+ box-shadow: 0 2px 10px rgba(0, 0, 0, 0.1);
+ }
+ h1, h2 {
+ color: #333;
+ }
+ .scroll {
+ max-height: 500px;
+ overflow-y: auto;
+ padding: 10px;
+ background-color: #e9e9e9;
+ border: 1px solid #ccc;
+ margin-bottom: 20px;
+ }
+ .scroll::-webkit-scrollbar {
+ width: 8px;
+ }
+ .scroll::-webkit-scrollbar-thumb {
+ background-color: #888;
+ }
+ .scroll::-webkit-scrollbar-thumb:hover {
+ background-color: #555;
+ }
+ a {
+ color: #007bff;
+ text-decoration: none;
+ }
+ a:hover {
+ text-decoration: underline;
+ }
+ </style>
+</head>
+<body>
+
+<div class="container">
+ <h1>System of Passenger Grievance Management: The Rail Madad App</h1>
+ <div class="scroll">
+ <h2>Overview</h2>
+ <p>Indian Railways launched the Rail MADAD app on June 11th, 2018.</p>
+
+ <h2>What does it do:</h2>
+ <ul>
+ <li>Instantly issues a unique ID to the passenger.</li>
+ <li>Relays the complaint to the relevant department immediately.</li>
+ <li>The action taken is conveyed to the passenger through SMS which fast-tracks the entire process and ensures a quick redressal.</li>
+ <li>Provides various helpline numbers such as security or child helpline numbers.</li>
+ <li>Collects feedback from passengers to help the Railways measure areas of improvement.</li>
+ </ul>
+ <p><b>139</b> - Rail MADAD helpline</p>
+ <p>The Railway Passenger Grievance Redressal and Management System (RPGRAMS) integrates all passenger complaints coming from 14 offline/online modes into a single platform.</p>
+
+ <h2>Process Behind the Complaint</h2>
+ <ul>
+ <li>Complaints first go to the central server in Delhi.</li>
+ <li>They are segregated as per location and sent to the respective area.</li>
+ <li>From there, the department assigns a person to resolve the issue.</li>
+ </ul>
+
+ <h2>Types of Complaints in Rail Madad</h2>
+ <ul>
+ <li>Medical Assistance – Immediate attention to health emergencies.</li>
+ <li>Security – Ensuring passenger safety.</li>
+ <li>Facilities for Women with Special Needs – Immediate assistance for women with special needs.</li>
+ <li>Divyangjan Facilities – Ensuring safety and accessibility for differently-abled passengers.</li>
+ <li>Corruption/Bribery – Addressing corruption and unethical practices.</li>
+ <li>Electrical Equipment – Resolving malfunctioning electrical systems.</li>
+ <li>Coach Cleanliness – Ensuring hygienic conditions.</li>
+ <li>Punctuality – Addressing delays.</li>
+ <li>Water Availability – Maintaining water supply for passengers.</li>
+ <li>Coach Maintenance – Resolving minor comfort-related issues.</li>
+ <li>Staff Behaviour – Improving staff conduct.</li>
+ <li>Catering & Vending Services – Ensuring food and drink availability.</li>
+ <li>Bed Roll – Comfort-related issues with bedding.</li>
+ <li>Miscellaneous – Other issues not classified.</li>
+ </ul>
+
+ <h2>Improvements with AI</h2>
+ <p>AI can enhance the Rail Madad complaint resolution process, especially when complaints are submitted with photos, videos, or audio. Here's how:</p>
+
+ <h3>Expected AI-Based Solution</h3>
+ <ol>
+ <li><b>Automated Categorization and Prioritization:</b>
+ <ul>
+ <li>Image and Video Analysis – Use AI-powered recognition to categorize complaints (e.g., cleanliness, staff behavior).</li>
+ <li>Urgency Detection – AI assesses severity and prioritizes critical complaints.</li>
+ </ul>
+ </li>
+ <li><b>Enhanced Data Extraction:</b>
+ <ul>
+ <li>Text Recognition (OCR) – Extract text from images or videos for more context.</li>
+ <li>Metadata Analysis – Use timestamps and location data for quicker resolution.</li>
+ </ul>
+ </li>
+ <li><b>Automated Response and Routing:</b>
+ <ul>
+ <li>AI Chatbots – Provide instant responses and route complaints efficiently.</li>
+ <li>Smart Routing – AI directs complaints to the appropriate department based on content.</li>
+ </ul>
+ </li>
+ <li><b>Predictive Maintenance:</b>
+ <ul>
+ <li>Issue Prediction – Use machine learning to identify recurring issues for proactive maintenance.</li>
+ </ul>
+ </li>
+ <li><b>Feedback and Continuous Improvement:</b>
+ <ul>
+ <li>Sentiment Analysis – Analyze feedback for areas of improvement.</li>
+ <li>Performance Monitoring – Track resolution speed and satisfaction through AI analytics.</li>
+ </ul>
+ </li>
+ <li><b>Training and Support:</b>
+ <ul>
+ <li>AI-Assisted Training – Tools to help staff analyze and resolve complaints effectively.</li>
+ <li>Resource Allocation – Dynamic allocation of resources based on complaint patterns.</li>
+ </ul>
+ </li>
+ <li><b>Evaluation Criteria:</b>
+ <ul>
+ <li>Accuracy of AI-powered complaint detection.</li>
+ <li>Speed of complaint resolution.</li>
+ <li>User experience and satisfaction.</li>
+ <li>Scalability and integration with the current system.</li>
+ </ul>
+ </li>
+ </ol>
+
+ <h2>Related Link</h2>
+ <p><a href="https://github.com/Geetansh-Aditya/RailMadad-web">Rail Madad Web App</a> - Django-based webpage for testing.</p>
+ </div>
+</div>
+
+</body>
+</html>
------------------------------------------------------------
commit 6893b7fe78da3bd24435535fc55193c89c2053c3
Author: root <root@sand.scroll.pub>
Date: Wed Sep 11 18:35:49 2024 +0000
Initial commit
diff --git a/header.scroll b/header.scroll
new file mode 100644
index 0000000..3e8cc10
--- /dev/null
+++ b/header.scroll
@@ -0,0 +1,9 @@
+buildHtml
+buildTxt
+
+metaTags
+gazetteCss
+homeButton
+viewSourceButton
+printTitle
+mediumColumns 1
diff --git a/index.scroll b/index.scroll
new file mode 100644
index 0000000..86c509e
--- /dev/null
+++ b/index.scroll
@@ -0,0 +1,7 @@
+title Hello world
+
+header.scroll
+
+Welcome to my folder.
+
+scrollVersionLink