HerGaurdian
Slide 1: Title Slide Title: HerGaurdian : AI-Powered Women’s Safety App Subtitle: Empowering Safety, Anytime, Anywhere Presented By: Siddharth – CEO & CTO Tilak – CFO Slide 2: Problem Statement Why Women’s Safety Needs Innovation 1 in 3 women worldwide experience violence or harassment. In emergencies, manual SOS triggers can be delayed or ineffective. Traditional safety measures rely on hardware, which may be bulky, expensive, or fail at critical moments. A smarter, automated, AI-driven approach is needed. Slide 3: Previous Concept - Hardware-Based Device Our Initial Solution (Now Outdated): A physical device with: Taser & buzzer for self-defense GPS & GSM for tracking Three-layer emergency alert protocol Why We Moved to an App-Based Approach: Hardware limitations (cost, size, maintenance) Dependency on an external device Smartwatches & AI make a software-based solution more scalable & effective Slide 4: The New Solution - Smartwatch App SmartGuard: A Fully AI-Powered Safety App No extra hardware needed – Works on existing smartwatches & smartphones AI-based distress detection via heart rate & motion analysis Auto-alerts emergency contacts, police, & safety networks Intelligent tracking of routes & transport systems Three-layer panic protocol for faster, smarter emergency handling Slide 5: Key Features & Functionality Heart Rate-Based Distress Detection Uses smartwatch sensors to track abnormal heart rate spikes & sudden stops in movement. AI/ML-Based Path Analysis Monitors bus/train journeys and alerts police at the next station if needed. Real-Time Tracking & Alerts Auto-fetches nearest police station contact AI makes an automated distress call explaining the situation Three-Layer Panic Protocol Ensures step-by-step emergency response to avoid false alarms & maximize efficiency. Slide 6: Three-Layer Panic Protocol Layer 3 - Initial Alert (Soft Alert Mode) Detects irregularities (high heart rate, erratic movements). Sends location updates to close contacts via the app. Layer 2 - Escalation (Pre-Emergency Mode) If no user intervention within 30 seconds: Sends a "potential danger" alert to emergency contacts. Prepares to escalate if the situation worsens. Layer 1 - Critical Emergency Mode If distress continues: AI calls nearest police station explaining the threat. Sends live location updates to law enforcement & family. Notifies government helplines & security networks. Slide 7: AI & ML Capabilities How SmartGuard Uses AI to Protect Users: Path Tracking & Risk Assessment AI identifies safe vs. high-risk routes based on crime data & past incidents. Smart Decision-Making for Emergency Handling AI prioritizes critical situations & prevents false alarms. Bus & Train Journey Monitoring Alerts police at the next station if danger is detected. Slide 8: Emergency Alert System

Slide 1: Title Slide
Title: HerGaurdian : AI-Powered Women’s Safety App
Subtitle: Empowering Safety, Anytime, Anywhere
Presented By:
- Siddharth – CEO & CTO
- Tilak – CFO
Slide 2: Problem Statement
Why Women’s Safety Needs Innovation
- 1 in 3 women worldwide experience violence or harassment.
- In emergencies, manual SOS triggers can be delayed or ineffective.
- Traditional safety measures rely on hardware, which may be bulky, expensive, or fail at critical moments.
- A smarter, automated, AI-driven approach is needed.
Slide 3: Previous Concept - Hardware-Based Device
Our Initial Solution (Now Outdated):
-
A physical device with:
- Taser & buzzer for self-defense
- GPS & GSM for tracking
- Three-layer emergency alert protocol
Why We Moved to an App-Based Approach:
- Hardware limitations (cost, size, maintenance)
- Dependency on an external device
- Smartwatches & AI make a software-based solution more scalable & effective
Slide 4: The New Solution - Smartwatch App
SmartGuard: A Fully AI-Powered Safety App
- No extra hardware needed – Works on existing smartwatches & smartphones
- AI-based distress detection via heart rate & motion analysis
- Auto-alerts emergency contacts, police, & safety networks
- Intelligent tracking of routes & transport systems
- Three-layer panic protocol for faster, smarter emergency handling
Slide 5: Key Features & Functionality
-
Heart Rate-Based Distress Detection
- Uses smartwatch sensors to track abnormal heart rate spikes & sudden stops in movement.
-
AI/ML-Based Path Analysis
- Monitors bus/train journeys and alerts police at the next station if needed.
-
Real-Time Tracking & Alerts
- Auto-fetches nearest police station contact
- AI makes an automated distress call explaining the situation
-
Three-Layer Panic Protocol
- Ensures step-by-step emergency response to avoid false alarms & maximize efficiency.
Slide 6: Three-Layer Panic Protocol
Layer 3 - Initial Alert (Soft Alert Mode)
- Detects irregularities (high heart rate, erratic movements).
- Sends location updates to close contacts via the app.
Layer 2 - Escalation (Pre-Emergency Mode)
- If no user intervention within 30 seconds:
- Sends a "potential danger" alert to emergency contacts.
- Prepares to escalate if the situation worsens.
Layer 1 - Critical Emergency Mode
- If distress continues:
- AI calls nearest police station explaining the threat.
- Sends live location updates to law enforcement & family.
- Notifies government helplines & security networks.
Slide 7: AI & ML Capabilities
How SmartGuard Uses AI to Protect Users:
-
Path Tracking & Risk Assessment
- AI identifies safe vs. high-risk routes based on crime data & past incidents.
-
Smart Decision-Making for Emergency Handling
- AI prioritizes critical situations & prevents false alarms.
-
Bus & Train Journey Monitoring
- Alerts police at the next station if danger is detected.
Slide 8: Emergency Alert System