Background

Senior citizens are particularly vulnerable to cyber frauds such as phishing, OTP scams, fake investment schemes, and identity theft, along with physical risks like medical emergencies and isolation.

Existing systems do not adequately combine cyber fraud prevention, emergency response, and welfare monitoring into a unified platform.

The Cyber Crime Branch, Ahmedabad City, seeks a system that ensures digital trust, financial safety, and physical well-being for senior citizens.

Problem Statement

Design and develop a Cyber-Aware Safety and Welfare Platform for Senior Citizens that integrates emergency response, cyber fraud prevention, and continuous welfare monitoring.

The platform should allow seniors to report fraud attempts, receive real-time scam alerts, and connect directly with law enforcement and family members. It should also support medical alerts and routine well-being checks.

Key Objectives

• Protect seniors from cyber fraud and scams
• Provide easy-to-use emergency response system
• Enable welfare and health monitoring
• Integrate with Cyber Crime Branch and police
• Offer proactive fraud detection and alerts
• Ensure accessibility and simplicity

Functional Requirements

1. Emergency Response System

• One-touch SOS (large, simple UI)
• Voice-enabled SOS trigger
• Medical emergency alerts

2. Real-Time Monitoring

• Location tracking during emergencies
• Daily safety check-ins
• Inactivity alerts

 

 

3. Cyber Fraud Protection Module

• Detection of scam calls/messages
• Alerts for phishing and fraudulent links
• Transaction anomaly alerts (optional integration)

4. Evidence Collection

• Record scam calls/messages
• Secure upload of fraud evidence
• Timestamped logs for investigation

5. Cyber Crime Integration

• Direct reporting to Cyber Crime Branch
• Fraud case tracking
• Integration with banking fraud reporting systems

6. Family & Caregiver Connectivity

• Alerts to family members
• Shared monitoring dashboard
• Emergency contact network

7. Preventive Safety Features

• Awareness modules (fraud prevention)
• AI-based scam detection
• Voice assistant for guidance

8. Welfare Monitoring Module

• Scheduled health check reminders
• Police-assisted welfare visits
• Integration with wearable health devices

9. Dashboard & Analytics

• Fraud trend analysis
• Senior citizen risk mapping
• Response tracking

10. Data Security & Compliance

• Simplified secure authentication
• Privacy-focused design
• Legal compliance for cybercrime evidence

 

Evaluation Criteria

• Effectiveness of police integration and real-time response
• Accuracy of location tracking and alert mechanisms
• Quality and admissibility of digital evidence
• Scalability and performance
• User interface and accessibility
• Innovation in preventive safety features
• Data privacy and security compliance
• Real-world applicability

Suggested Tools/Technologies

• Backend: Node.js / Python (Django/Flask)
• Frontend: React.js / Flutter
• Database: PostgreSQL / MongoDB
• Real-time communication: WebSockets / Firebase
• GIS: Google Maps API / OpenStreetMap
• AI/ML: TensorFlow / PyTorch
• Integration APIs for ERSS / CCTNS (simulated if required)

Bonus Points

• AI-based unsafe zone prediction
• Voice-activated SOS trigger
• Offline/SMS-based alert system
• Multilingual support (Gujarati, Hindi, English)
• Wearable device integration
• Facial recognition for missing persons (optional)

Deliverables

• Working prototype/demo
• Police dashboard demonstration
• Documentation (architecture, workflow, integrations)
• Deployment instructions or containerized setup (optional)