diff --git a/ck4good_0_hack4good_proposalhjgug.xml b/ck4good_0_hack4good_proposalhjgug.xml
deleted file mode 100644
index 96925f4..0000000
--- a/ck4good_0_hack4good_proposalhjgug.xml
+++ /dev/null
@@ -1,72 +0,0 @@
-<?xml version="1.0" encoding="utf-8"?>
-<record_update>
-  <record table="x_snc_hack4good_0_hack4good_proposal" action="insert" sys_id="a1b2c3d4e5f67890a1b2c3d4e5f67890">
-    <name>SafeSpace – AI-Powered Workplace Harassment Reporting & Prevention Platform</name>
-    <short_description>Anonymous, AI-driven ServiceNow platform to report, manage, and prevent workplace harassment and misconduct.</short_description>
-    <description><![CDATA[
-Proposal Title: SafeSpace – AI-Powered Workplace Harassment Reporting & Prevention Platform
-
-Summary:
-SafeSpace is a ServiceNow-based secure platform designed to help employees report workplace harassment and misconduct confidentially. It leverages AI-driven categorization, automated workflows, and analytics to ensure fair, private, and timely resolutions.
-
-Problem:
-Workplace harassment often goes unreported due to fear of retaliation, stigma, or lack of trusted reporting mechanisms. Organizations struggle to maintain transparency, fairness, and confidentiality in handling such cases.
-
-Solution:
-SafeSpace empowers employees to report incidents anonymously and enables HR and compliance teams to investigate efficiently while maintaining privacy and data protection.
-
-Key Features:
-1. Anonymous Reporting Portal – Employees can submit confidential reports via chatbot, email, or form.
-2. AI-Powered Case Categorization – Natural Language Processing (NLP) identifies the type and severity of reports.
-3. Secure Escalation Workflow – Routes cases to designated HR or ethics officers with controlled access.
-4. Sentiment & Trend Analysis – Detects emerging risk patterns or culture issues.
-5. Resource & Support Library – Provides access to legal rights, counseling, and mental health help.
-6. Confidential Analytics Dashboard – Visualizes trends without exposing identities.
-
-Target Users:
-- Corporates and HR Departments
-- Compliance & Ethics Teams
-- NGOs focused on employee welfare
-- Government and public offices
-
-Integrations:
-- Microsoft Teams / Slack
-- Twilio / WhatsApp
-- ServiceNow Predictive Intelligence
-- External Legal and Counseling APIs
-
-Impact:
-- Encourages safe and transparent workplaces
-- Reduces fear of retaliation for victims
-- Enhances HR efficiency and compliance tracking
-- Promotes data-driven cultural change
-
-Tech Stack:
-- ServiceNow App Engine
-- Flow Designer & IntegrationHub
-- Virtual Agent + NLP
-- Predictive Intelligence
-- Performance Analytics
-
-Estimated Effort (MVP):
-- 7–9 weeks for reporting, triage, and analytics
-- +3 weeks for integrations and trend detection
-
-Author:
-Hacktoberfest Contributor
-Contact: placeholder@example.com
-
-License:
-MIT
-]]></description>
-    <author>Hacktoberfest Contributor</author>
-    <category>Workplace Safety & Ethics</category>
-    <impact_statement>Foster safer, more inclusive workplaces through AI-powered anonymous reporting, fair investigations, and proactive risk detection.</impact_statement>
-    <features>Anonymous Reporting;AI Categorization;Secure Workflow;Trend Analysis;Resource Library;Confidential Dashboard</features>
-    <target_users>Corporates, HR teams, NGOs, public offices</target_users>
-    <integrations>Teams;Slack;Twilio;WhatsApp;Legal & Counseling APIs</integrations>
-    <estimated_effort>MVP: 7–9 weeks</estimated_effort>
-    <license>MIT</license>
-    <sys_created_on>2025-10-31 00:00:00</sys_created_on>
-  </record>
-</record_update>
diff --git a/ecoTrack_hack4good_proposal.xml b/ecoTrack_hack4good_proposal.xml
deleted file mode 100644
index c6cde1e..0000000
--- a/ecoTrack_hack4good_proposal.xml
+++ /dev/null
@@ -1,50 +0,0 @@
-<?xml version="1.0" encoding="UTF-8"?>
-
-<record_update>
-<x_snc_hack4good_0_hack4good_proposal action="INSERT_OR_UPDATE">
-<project_name>EcoTrack – Smart Sustainability Dashboard</project_name>
-<focus_area>environment</focus_area>
-<problem_statement>
-Urban areas generate massive amounts of waste and carbon emissions daily.
-Citizens lack accessible insights into how their actions impact the environment.
-Local authorities and communities struggle to measure sustainability efforts effectively.
-There’s a need for a transparent, data-driven platform that encourages eco-friendly behavior.
-</problem_statement>
-<proposed_solution>
-EcoTrack is a web-based sustainability dashboard that helps users and communities track their environmental footprint in real time.
-The platform integrates with open environmental APIs and IoT devices to provide live data on air quality, carbon output, waste management, and energy consumption.
-It gamifies sustainability by rewarding eco-friendly actions and sharing community progress.
-</proposed_solution>
-<system_architecture>
-Stack: React.js (Frontend) → Node.js/Express.js (Backend) → MongoDB Atlas (Database)
-APIs: OpenWeatherMap, Carbon Interface API, and SmartCity Data APIs.
-Hosting: Vercel (Frontend) & Render (Backend).
-</system_architecture>
-<key_features>
-Authentication: JWT-based user login and role-based dashboards (citizens, NGOs, city admins).
-Live Data: Real-time air quality, carbon usage, and waste tracking.
-Gamification: Earn badges and points for eco-friendly actions.
-Analytics: Charts and heatmaps to visualize sustainability metrics.
-Community: Leaderboards and collaboration spaces for green initiatives.
-</key_features>
-<tech_stack>
-Frontend: React.js, Tailwind CSS, Chart.js, React Router.
-Backend: Node.js, Express.js, Axios.
-Database: MongoDB Atlas.
-Services: JWT, OpenWeatherMap API, Carbon Interface API.
-Hosting: Vercel & Render.
-</tech_stack>
-<expected_impact>
-- Empowers individuals to understand and reduce their carbon footprint.
-- Promotes collaboration between citizens and local authorities for sustainability.
-- Encourages eco-friendly lifestyles through gamification and public recognition.
-</expected_impact>
-<future_enhancements>
-- Mobile app version with push notifications for environmental alerts.
-- AI-driven personalized eco-tips based on user habits.
-- Integration with IoT devices (smart meters, air sensors).
-</future_enhancements>
-<sys_created_by>adityarana</sys_created_by>
-<sys_created_on>2025-10-31 12:30:00</sys_created_on>
-</x_snc_hack4good_0_hack4good_proposal>
-</record_update>
diff --git a/snc_hack4good_0_hack4good_proposalf7j65duldrre.xml b/snc_hack4good_0_hack4good_proposalf7j65duldrre.xml
deleted file mode 100644
index 0f0768f..0000000
--- a/snc_hack4good_0_hack4good_proposalf7j65duldrre.xml
+++ /dev/null
@@ -1,73 +0,0 @@
-<?xml version="1.0" encoding="utf-8"?>
-<record_update>
-  <record table="x_snc_hack4good_0_hack4good_proposal" action="insert" sys_id="9abc8def7ghi6jkl5mno4pqr3stu2vwx">
-    <name>DisasterNet – AI-Powered Emergency Response & Coordination System</name>
-    <short_description>ServiceNow-based platform for real-time disaster detection, response coordination, and citizen assistance.</short_description>
-    <description><![CDATA[
-Proposal Title: DisasterNet – AI-Powered Emergency Response & Coordination System
-
-Summary:
-DisasterNet is a ServiceNow-driven intelligent platform that leverages AI, IoT, and geospatial data to detect disasters, coordinate response teams, and assist affected citizens through automated workflows and communication channels.
-
-Problem:
-During natural disasters or crises, response time is critical. Current systems are fragmented, manual, and lack real-time coordination between emergency services, NGOs, and government agencies.
-
-Solution:
-DisasterNet provides a unified ServiceNow platform that automates response workflows, integrates live data streams, and enables instant collaboration between multiple agencies and responders.
-
-Key Features:
-1. AI-Driven Disaster Detection – Uses weather APIs, seismic data, and IoT sensors.
-2. Real-Time Incident Dashboard – Displays heatmaps, severity levels, and updates.
-3. Automated Task Routing – Assigns incidents to nearest available responders.
-4. Citizen Assistance Portal – Allows citizens to request help via chatbot, SMS, or web form.
-5. Resource & Logistics Tracker – Tracks available vehicles, supplies, and medical aid.
-6. Situation Reports & Analytics – Generates live insights for decision-makers.
-
-Target Users:
-- Government disaster management departments
-- NGOs and rescue organizations
-- Hospitals and emergency response teams
-- Citizens in affected areas
-
-Integrations:
-- Google Maps API / Esri ArcGIS
-- Weather & Seismic APIs
-- Twilio / WhatsApp
-- Microsoft Teams / Slack
-- ServiceNow Flow Designer & IntegrationHub
-
-Impact:
-- Speeds up emergency response times
-- Reduces loss of life through real-time coordination
-- Improves inter-agency collaboration
-- Enables citizens to reach help faster through automation
-
-Tech Stack:
-- ServiceNow App Engine
-- IntegrationHub for API connectivity
-- Flow Designer for automation
-- Virtual Agent for citizen communication
-- Predictive Intelligence for risk scoring
-
-Estimated Effort (MVP):
-- 8–10 weeks for detection, routing, and citizen portal
-- +3 weeks for AI-based analytics and maps integration
-
-Author:
-Hacktoberfest Contributor
-Contact: placeholder@example.com
-
-License:
-MIT
-]]></description>
-    <author>Hacktoberfest Contributor</author>
-    <category>Disaster Response & Crisis Management</category>
-    <impact_statement>Accelerate disaster response through AI, automation, and cross-agency collaboration to protect communities in real time.</impact_statement>
-    <features>AI Detection;Incident Dashboard;Automated Routing;Citizen Portal;Resource Tracker;Analytics Reports</features>
-    <target_users>Governments, NGOs, hospitals, citizens</target_users>
-    <integrations>Google Maps;Weather APIs;Twilio;Teams;Slack;ServiceNow AI</integrations>
-    <estimated_effort>MVP: 8–10 weeks</estimated_effort>
-    <license>MIT</license>
-    <sys_created_on>2025-10-31 00:00:00</sys_created_on>
-  </record>
-</record_update>
diff --git "a/x_snc_hack4good_0_hack4good_proposal\" action=\"insert.xml" "b/x_snc_hack4good_0_hack4good_proposal\" action=\"insert.xml"
deleted file mode 100644
index 934c033..0000000
--- "a/x_snc_hack4good_0_hack4good_proposal\" action=\"insert.xml"	
+++ /dev/null
@@ -1,71 +0,0 @@
-<?xml version="1.0" encoding="utf-8"?>
-<record_update>
-  <record table="x_snc_hack4good_0_hack4good_proposal" action="insert" sys_id="fedcba0987654321fedcba0987654321">
-    <name>EcoPulse – AI-Powered Sustainability & Carbon Footprint Tracker</name>
-    <short_description>ServiceNow solution to measure, analyze, and reduce organizational carbon footprint using AI-driven insights.</short_description>
-    <description><![CDATA[
-Proposal Title: EcoPulse – AI-Powered Sustainability & Carbon Footprint Tracker
-
-Summary:
-EcoPulse is a ServiceNow-powered sustainability management platform that helps organizations track, report, and reduce their carbon emissions through intelligent data aggregation, AI-driven recommendations, and real-time dashboards.
-
-Problem:
-Most companies lack visibility into their daily carbon footprint and sustainability progress. Manual tracking is inefficient and often inaccurate, making it hard to take meaningful climate action.
-
-Solution:
-EcoPulse automates data collection from multiple systems (HR, facilities, logistics, and IT), calculates carbon metrics, and provides AI insights to reduce emissions.
-
-Key Features:
-1. Automated Data Collection – Integrates with ERP, IoT, and utility APIs.
-2. Carbon Footprint Analytics – AI calculates energy, transport, and waste impact.
-3. Smart Recommendations – Machine learning suggests ways to reduce emissions.
-4. Sustainability Dashboard – Visual reports and compliance tracking.
-5. Green Credits Tracker – Rewards teams for eco-friendly actions.
-6. Automated Reporting – Generate ESG and sustainability reports instantly.
-
-Target Users:
-- Enterprises aiming for net-zero goals
-- Government agencies
-- Educational institutions
-- NGOs focused on sustainability
-
-Integrations:
-- IoT sensors and smart meters
-- SAP / Workday
-- Google Cloud Carbon Footprint API
-- ServiceNow Performance Analytics
-
-Impact:
-- Enables data-driven sustainability decisions
-- Simplifies ESG reporting
-- Encourages green behavior within organizations
-- Accelerates progress toward carbon neutrality
-
-Tech Stack:
-- ServiceNow App Engine
-- IntegrationHub (for external APIs)
-- Flow Designer
-- Predictive Intelligence & Performance Analytics
-
-Estimated Effort (MVP):
-- 6–8 weeks for data collection, dashboard, and AI insights
-- +2 weeks for ESG reporting module
-
-Author:
-Hacktoberfest Contributor
-Contact: placeholder@example.com
-
-License:
-MIT
-]]></description>
-    <author>Hacktoberfest Contributor</author>
-    <category>Environment & Sustainability</category>
-    <impact_statement>Empower organizations to take data-driven climate action with automated sustainability tracking and AI-powered carbon insights.</impact_statement>
-    <features>Automated Data Collection;AI Insights;Carbon Analytics;Sustainability Dashboard;Smart Recommendations;ESG Reporting</features>
-    <target_users>Enterprises, NGOs, governments, educational institutions</target_users>
-    <integrations>IoT;SAP;Workday;Google Cloud APIs;ServiceNow Analytics</integrations>
-    <estimated_effort>MVP: 6–8 weeks</estimated_effort>
-    <license>MIT</license>
-    <sys_created_on>2025-10-31 00:00:00</sys_created_on>
-  </record>
-</record_update>
diff --git a/x_snc_hack4good_0_hack4good_proposal.xml b/x_snc_hack4good_0_hack4good_proposal.xml
deleted file mode 100644
index d2d40a2..0000000
--- a/x_snc_hack4good_0_hack4good_proposal.xml
+++ /dev/null
@@ -1,76 +0,0 @@
-<?xml version="1.0" encoding="utf-8"?>
-<record_update>
-  <record table="x_snc_hack4good_0_hack4good_proposal" action="insert" sys_id="abcdef1234567890abcdef1234567890">
-    <name>MindConnect – AI-Powered Mental Health Support & Resource Hub</name>
-    <short_description>AI-driven ServiceNow platform for early mental health support and wellness coordination.</short_description>
-    <description><![CDATA[
-Proposal Title: MindConnect – AI-Powered Mental Health Support & Resource Hub
-
-Summary:
-A ServiceNow-based solution that connects individuals in emotional distress with appropriate support using AI-driven sentiment analysis, automated routing, and self-service wellness tools.
-
-Problem:
-Mental health issues are often overlooked in workplaces, schools, and communities. There’s stigma, fragmentation, and a lack of real-time visibility into well-being.
-
-Solution:
-MindConnect helps by:
-1. Enabling anonymous submissions via chatbot or web form.
-2. Using AI sentiment analysis to determine urgency and emotional state.
-3. Automatically routing cases to HR, counselors, or wellness partners.
-4. Providing self-help content and regular follow-ups.
-5. Offering dashboards with anonymized wellness data for leaders.
-
-Key Features:
-- Anonymous Chatbot Intake (Virtual Agent + NLP)
-- AI Emotional Triage
-- Smart Routing Engine
-- Resource Library
-- Wellness Dashboard
-- Automated Alerts for high-risk indicators
-
-Target Users:
-- Corporations and HR Teams
-- Universities and Colleges
-- NGOs
-- Individual users
-
-Integrations:
-- Microsoft Teams / Slack
-- WhatsApp / Twilio
-- External Mental Health APIs
-- ServiceNow Predictive Intelligence
-
-Impact:
-- Encourage early help-seeking behavior
-- Reduce burnout through proactive engagement
-- Provide real-time, data-driven insights
-- Protect user privacy and dignity
-
-Tech Stack:
-- ServiceNow App Engine
-- Virtual Agent + AI Search
-- Flow Designer
-- IntegrationHub
-
-Estimated Effort (MVP):
-- 5–8 weeks for intake, routing, and dashboard
-- +2–3 weeks for AI sentiment and analytics module
-
-Author:
-Hacktoberfest Contributor
-Contact: placeholder@example.com
-
-License:
-MIT
-]]></description>
-    <author>Hacktoberfest Contributor</author>
-    <category>Mental Health & Wellness</category>
-    <impact_statement>Promote proactive mental health support using AI-driven triage and compassionate automation within organizations and communities.</impact_statement>
-    <features>Chatbot Intake;AI Triage;Smart Routing;Resource Library;Analytics Dashboard;Automated Alerts</features>
-    <target_users>HR teams, universities, NGOs, individuals</target_users>
-    <integrations>Teams;Slack;Twilio;WhatsApp;ServiceNow AI & Predictive Intelligence</integrations>
-    <estimated_effort>MVP: 5–8 weeks</estimated_effort>
-    <license>MIT</license>
-    <sys_created_on>2025-10-31 00:00:00</sys_created_on>
-  </record>
-</record_update>
diff --git a/x_snc_hack4good_0_hack4good_proposal_<sys_id>.xml b/x_snc_hack4good_0_hack4good_proposal_<sys_id>.xml
deleted file mode 100644
index c2d3931..0000000
--- a/x_snc_hack4good_0_hack4good_proposal_<sys_id>.xml
+++ /dev/null
@@ -1,47 +0,0 @@
-<?xml version="1.0" encoding="UTF-8"?>
-
-<record_update>
-<x_snc_hack4good_0_hack4good_proposal action="INSERT_OR_UPDATE">
-<project_name>LearnSphere – AI Study Companion</project_name>
-<focus_area>education</focus_area>
-<problem_statement>
-Students often struggle with information overload and inefficient revision methods.
-Traditional study tools lack personalized summaries, adaptive quizzes, and progress tracking.
-There’s a need for an intelligent platform that simplifies learning and enhances retention through AI-powered assistance.
-</problem_statement>
-<proposed_solution>
-LearnSphere is an AI-powered study companion that helps students summarize notes, generate quizzes, and visualize progress — all in one place.
-The platform enables efficient revision, adaptive testing, and performance tracking to improve learning outcomes.
-</proposed_solution>
-<system_architecture>
-Stack: React.js (Frontend) → Node.js/Express.js (Backend) → MongoDB Atlas (Database)
-Services: JWT for Authentication, OpenAI API for AI features.
-Hosting: Vercel (Frontend) & Render (Backend).
-</system_architecture>
-<key_features>
-Authentication: Secure JWT Login & Registration.
-AI Tools: On-demand Note Summaries & Quizzes.
-CRUD: Create, Read, Update, & Delete Notes.
-Tracking: Visual charts for learning & quiz performance.
-Routing: Dashboard, Notes, Analytics, etc.
-</key_features>
-<tech_stack>
-Frontend: React.js, React Router, Axios, Tailwind CSS.
-Backend: Node.js, Express.js.
-Database: MongoDB Atlas.
-Services: JWT, OpenAI API, Chart.js.
-</tech_stack>
-<expected_impact>
-- Simplifies study workflows and personalizes learning.
-- Enhances productivity with AI summaries and adaptive quizzes.
-- Encourages consistent learning through performance tracking.
-</expected_impact>
-<future_enhancements>
-- Voice-based note input.
-- Personalized learning recommendations via AI.
-- Integration with Google Classroom & Notion.
-</future_enhancements>
-<sys_created_by>adityarana</sys_created_by>
-<sys_created_on>2025-10-31 12:00:00</sys_created_on>
-</x_snc_hack4good_0_hack4good_proposal>
-</record_update>
diff --git a/x_snc_hack4good_0_hack4good_proposal_mindcare.xml b/x_snc_hack4good_0_hack4good_proposal_mindcare.xml
deleted file mode 100644
index 4a8e181..0000000
--- a/x_snc_hack4good_0_hack4good_proposal_mindcare.xml
+++ /dev/null
@@ -1,48 +0,0 @@
-<?xml version="1.0" encoding="UTF-8"?>
-
-<record_update>
-<x_snc_hack4good_0_hack4good_proposal action="INSERT_OR_UPDATE">
-<project_name>MindCare – AI Mental Wellness Assistant</project_name>
-<focus_area>healthtech</focus_area>
-<problem_statement>
-Mental health awareness has grown, but many people still struggle with stress, burnout, and emotional well-being. 
-Traditional therapy is often expensive, inaccessible, or stigmatized. 
-There is a pressing need for a digital platform that provides accessible, affordable, and AI-driven mental wellness support.
-</problem_statement>
-<proposed_solution>
-MindCare is an AI-powered mental wellness assistant that offers guided breathing exercises, emotion-based journaling, 
-and mood analysis using natural language processing. It provides personalized wellness insights, motivation prompts, 
-and emergency helpline suggestions based on detected emotional patterns.
-</proposed_solution>
-<system_architecture>
-Stack: React.js (Frontend) → Node.js/Express.js (Backend) → MongoDB Atlas (Database)
-Services: OpenAI API for sentiment analysis, JWT for secure authentication.
-Hosting: Vercel (Frontend) & Render (Backend)
-</system_architecture>
-<key_features>
-- AI-based emotion detection and personalized feedback
-- Secure user journaling with daily mood tracking
-- Breathing and mindfulness exercises with progress stats
-- Interactive analytics dashboard showing mood trends
-- Emergency contact suggestions based on mood severity
-</key_features>
-<tech_stack>
-Frontend: React.js, Tailwind CSS, Axios
-Backend: Node.js, Express.js
-Database: MongoDB Atlas
-APIs/Services: OpenAI API, JWT, Chart.js
-</tech_stack>
-<expected_impact>
-- Improves emotional awareness and daily mental wellness
-- Reduces stigma by offering private, AI-driven support
-- Promotes mental resilience and stress management
-</expected_impact>
-<future_enhancements>
-- Voice-based journal entries
-- Integration with wearable devices for real-time stress tracking
-- Personalized therapy recommendations via AI models
-</future_enhancements>
-<sys_created_by>adityarana</sys_created_by>
-<sys_created_on>2025-10-31 13:00:00</sys_created_on>
-</x_snc_hack4good_0_hack4good_proposal>
-</record_update>
diff --git a/x_snc_hack4good_0_hack4good_proposal_{sys_id}.xml b/x_snc_hack4good_0_hack4good_proposal_{sys_id}.xml
deleted file mode 100644
index 65f28cd..0000000
--- a/x_snc_hack4good_0_hack4good_proposal_{sys_id}.xml
+++ /dev/null
@@ -1,76 +0,0 @@
-<?xml version="1.0" encoding="utf-8"?>
-<record_update>
-  <record table="x_snc_hack4good_0_hack4good_proposal" action="insert" sys_id="1234567890abcdef1234567890abcdef">
-    <name>AI-Powered Crisis Relief Coordination Hub</name>
-    <short_description>ServiceNow app to streamline disaster relief coordination using AI prioritization, real-time mapping, and automated workflows.</short_description>
-    <description><![CDATA[
-Proposal Title: AI-Powered Crisis Relief Coordination Hub
-
-Summary:
-A ServiceNow application that enables governments, NGOs, and volunteers to coordinate disaster relief operations efficiently. It uses AI for prioritization, real-time mapping, and automated task routing to ensure that help reaches affected areas faster and more effectively.
-
-Problem:
-During natural disasters, critical help requests are often lost, delayed, or duplicated. Agencies and NGOs lack a unified system to prioritize aid, assign resources, and track volunteer efforts — leading to inefficiency and delayed response times.
-
-Solution:
-The Crisis Relief Coordination Hub centralizes disaster response by:
-1. Collecting requests via web form, chatbot, or WhatsApp.
-2. Geo-tagging and classifying them by type (medical, shelter, food, etc.).
-3. Using AI to prioritize based on urgency, density, and resource availability.
-4. Automatically assigning tasks to the nearest available responder.
-5. Displaying live dashboards for decision-makers to monitor progress.
-6. Generating insights post-crisis for future preparedness.
-
-Key Features:
-- Real-Time Impact Dashboard — visualize affected areas and open tasks.
-- AI Smart Prioritization — rank requests using severity and proximity.
-- Omnichannel Intake — integrate web, SMS, and WhatsApp submissions.
-- Dynamic Routing Engine — assign responders intelligently.
-- Volunteer & Resource Registry — track availability and skills.
-- Post-Relief Analytics — identify bottlenecks and optimize workflows.
-
-Target Users:
-- Disaster management agencies
-- NGOs and relief organizations
-- Volunteer networks
-- Citizens in affected areas
-
-Integrations:
-- Google Maps / Mapbox APIs for mapping
-- Twilio / WhatsApp for messaging
-- Weather & Seismic APIs for predictive insights
-- ServiceNow Flow Designer & IntegrationHub
-
-Impact:
-- Reduce response times by up to 60%
-- Increase coordination and resource efficiency
-- Provide data-driven insights for better preparedness
-- Save more lives through faster, smarter action
-
-Tech Stack:
-- ServiceNow App Engine
-- AI Search / Predictive Intelligence
-- IntegrationHub for external data connectors
-
-Estimated Effort (MVP):
-- 6–10 weeks for intake form, routing engine, and dashboard
-- +3–4 weeks for AI prioritization and analytics module
-
-Author:
-Hacktoberfest Contributor
-Contact: placeholder@example.com
-
-License:
-MIT
-]]></description>
-    <author>Hacktoberfest Contributor</author>
-    <category>Crisis Response</category>
-    <impact_statement>Reduce response time and improve coordination during natural disasters through AI-driven prioritization and automated workflows.</impact_statement>
-    <features>Real-Time Dashboard;AI Prioritization;Omnichannel Intake;Dynamic Routing;Volunteer Registry;Post-Relief Analytics</features>
-    <target_users>Disaster management agencies, NGOs, volunteers, citizens</target_users>
-    <integrations>Google Maps/Mapbox;Twilio/WhatsApp;Weather & Seismic APIs;ServiceNow IntegrationHub</integrations>
-    <estimated_effort>MVP: 6-10 weeks</estimated_effort>
-    <license>MIT</license>
-    <sys_created_on>2025-10-31 00:00:00</sys_created_on>
-  </record>
-</record_update>
diff --git a/x_snc_hack4goojhgyufugjhnd_0_hack4good_proposal.xml b/x_snc_hack4goojhgyufugjhnd_0_hack4good_proposal.xml
deleted file mode 100644
index 71a0140..0000000
--- a/x_snc_hack4goojhgyufugjhnd_0_hack4good_proposal.xml
+++ /dev/null
@@ -1,72 +0,0 @@
-<?xml version="1.0" encoding="utf-8"?>
-<record_update>
-  <record table="x_snc_hack4good_0_hack4good_proposal" action="insert" sys_id="1234abcd5678efgh9012ijkl3456mnop">
-    <name>EduFlow – AI-Powered Learning Support & Accessibility Platform</name>
-    <short_description>Personalized AI assistant for learners and educators to enhance accessibility, engagement, and academic performance.</short_description>
-    <description><![CDATA[
-Proposal Title: EduFlow – AI-Powered Learning Support & Accessibility Platform
-
-Summary:
-EduFlow is a ServiceNow-based intelligent education assistant that supports students and teachers by automating routine academic workflows, enhancing accessibility for differently-abled learners, and providing personalized learning insights through AI.
-
-Problem:
-Educational institutions struggle with diverse learning needs, administrative overload, and lack of real-time academic support. Students often face barriers due to disabilities, stress, or limited guidance resources.
-
-Solution:
-EduFlow centralizes academic support with an AI-driven, inclusive learning assistant built on ServiceNow. It helps students learn efficiently, automates educator workflows, and fosters equal learning opportunities.
-
-Key Features:
-1. AI Learning Assistant – Personalized study recommendations and reminders.
-2. Accessibility Tools – Speech-to-text, text-to-speech, and dyslexia-friendly modes.
-3. Academic Workflow Automation – Auto attendance, assignment tracking, and grading alerts.
-4. Student Wellness Monitoring – Early alerts for academic stress or disengagement.
-5. Educator Dashboard – Insights into student progress and engagement trends.
-6. Multilingual Support – Localized experience using ServiceNow AI Search.
-
-Target Users:
-- Universities and Colleges
-- Online Learning Platforms
-- K–12 Institutions
-- Educators and Academic Advisors
-
-Integrations:
-- Microsoft Teams / Google Classroom
-- Zoom / Slack
-- ServiceNow Virtual Agent
-- External EdTech APIs (Coursera, Khan Academy)
-
-Impact:
-- Promotes inclusive learning for all students
-- Reduces educator workload through automation
-- Enhances student engagement and retention
-- Supports mental and academic wellness simultaneously
-
-Tech Stack:
-- ServiceNow App Engine
-- Virtual Agent + AI Search
-- Flow Designer
-- IntegrationHub
-- Predictive Intelligence
-
-Estimated Effort (MVP):
-- 6–9 weeks for core AI assistant, dashboards, and accessibility module
-- +3 weeks for integrations and multilingual support
-
-Author:
-Hacktoberfest Contributor
-Contact: placeholder@example.com
-
-License:
-MIT
-]]></description>
-    <author>Hacktoberfest Contributor</author>
-    <category>Education & Accessibility</category>
-    <impact_statement>Enable inclusive, intelligent, and automated learning support to transform the way students and educators connect through technology.</impact_statement>
-    <features>AI Assistant;Accessibility Tools;Workflow Automation;Wellness Monitoring;Educator Dashboard;Multilingual Support</features>
-    <target_users>Students, educators, institutions, edtech platforms</target_users>
-    <integrations>Teams;Google Classroom;Slack;Zoom;Coursera;Khan Academy</integrations>
-    <estimated_effort>MVP: 6–9 weeks</estimated_effort>
-    <license>MIT</license>
-    <sys_created_on>2025-10-31 00:00:00</sys_created_on>
-  </record>
-</record_update>