project_of_tourist

Problem Statement Title Smart Tourist Safety Monitoring & Incident Response System using Al, Geo-Fencing, and Blockchain-based Digital ID Problem Statement This problem statement proposes the development of a Smart Tourist Safety Monitoring & Incident Response System that leverages AI, Blockchain, and Geo-Fencing technologies. The system should include: Digital Tourist ID Generation Platform • A secure blockchain-based system that issues digital IDs to tourists at entry points (airports, hotels, check-posts). • These IDs should include basic KYC Aadhaar/passport), trip itinerary, and emergency contacts, and be valid only for the duration of the visit. Mobile Application for Tourists • Auto-assign a Tourist Safety Score based on travel patterns and area sensitivity. • Geo-fencing alerts when tourists enter high-risk or restricted zones. • Panic Button with live location sharing to nearest police unit and emergency contacts. • Optional real-time tracking feature (opt-in) for families and law enforcement. AI Based Anomaly Detection • Detect sudden location drop-offs, prolonged inactivity, or deviation from planned routes. • Flag missing, silent, or distress behaviour for investigations. Tourism Department & Police Dashboard • Real-time visualizations of tourist clusters and heat maps of high-risk zones. • Access to digital ID records, alert history, and last known locations. • Automated E FIR generation for missing person cases. IoT Integration Optional) • Smart bands or tags for tourists in high-risk areas (e.g., caves, forests). • Continuous health/location signals and manual SOS feature. Multilingual Support • App and platform available in 10 Indian languages and English. • Voice/text emergency access for elderly or disabled travellers. Data Privacy & Security • End-to-end encryption and compliance with data protection laws. • Blockchain ensures tamper-proof identity and travel records..

Background In regions like the Northeast, where tourism is a key economic driver, ensuring the safety of visitors is paramount. Traditional policing and manual tracking methods are insufficient in remote and high-risk areas. There is a pressing need for a smart, technology-driven solution that ensures real-time monitoring, rapid response, and secure identity verification for tourists, while maintaining privacy and ease of travel. Expected Solution A robust digital ecosystem comprising: • Web portal and mobile app for tourists and authorities. • AI/ML models for behaviour tracking and predictive alerts. • Blockchain-based ID generation and verification. • Real-time dashboards for police/tourism departments. • Optional IoT wearable integration for enhanced safety. • Automated alert dispatch and evidence logging systems. Organization- Ministry of Development of North Eastern Region Department- Ministry of Tourism/ Ministry of Home Affairs (in collaboration with State Police Departments and NIC Category - Software Theme - Travel & Tourism Explain me this problem statement , what all to focus..... This problem statement proposes a comprehensive technology ecosystem to safeguard tourists using AI, geo-fencing, and blockchain-based digital IDs, with a focus on real-time monitoring, rapid incident response, and privacy protection. 1 2 3 Core Focus Areas Digital Tourist ID Blockchain-Based): The system issues secure, tamper-proof IDs at entry points (airports, hotels, checkpoints), tied to tourists' verified KYC Aadhaar/passport), travel itinerary, and emergency contacts. Blockchain ensures data security, privacy, and time-bound validity. 2 3 Tourist Mobile Application: Key features include automatic safety scoring (using AI , geo-fencing alerts for risky/restricted areas, panic button with live location sharing, and opt-in real-time tracking for families and authorities. Multilingual and accessibility options further broaden reach. 4 AI Based Safety Monitoring: AI algorithms monitor tourist behavior, detect anomalies (sudden location drop-off, prolonged inactivity, deviation from itinerary), and flag possible distress or missing incidents for timely investigation and response. 5 6 7.

Authority Dashboard: Real-time visualization tools (heatmaps, tourist clusters, alert logs), access to digital IDs and incident records, and automated missing person case filing E FIR . Empowers police and tourism departments with actionable intelligence. 3 2 IoT Wearables Optional): Smart bands/tags in high-risk areas send continuous health/location data and enable manual SOS calls, adding a layer of real-world monitoring beyond mobile devices. 8 Data Privacy & Compliance: The platform must use end-to-end encryption and comply with national data protection laws, leveraging blockchain for tamper resistance and accountability. 9 5 What to Focus on for Development Integration & Interoperability: Ensure seamless communication between mobile app, web portal, dashboards, and IoT devices. AI Capabilities: Design robust anomaly detection and predictive safety scoring, using travel and location data. Geo-Fencing & Alerts: Accurate mapping and real-time alerts for risky areas. Blockchain Security: Secure and scalable digital ID management, rapid verification by authorities. Emergency Response Workflows: Fast, automated connection to law enforcement, embassies, and medical aid. User Experience: Support for multiple Indian languages, simple interfaces for all ages and abilities. Compliance Framework: Strong privacy protections and regulatory compliance. Scalability: Platform must handle large numbers of users, especially during peak tourism periods. Why This Matters Traditional approaches "fall short" in remote/high-risk zones, where quick identification, real- time response, and data privacy are critical. The outlined system promises to revolutionize tourist safety with proactive monitoring, rapid incident response, and secure digital identity— making tourism more resilient and trustworthy for visitors and local economies. 2 4 Summary Table Component Technology Focus Main Features Digital Tourist ID Blockchain Tamper-proof; KYC; itinerary; emergency contacts 2 Tourist Mobile App AI, Geo-Fencing, Privacy Safety score; geo-fencing alerts; panic button 3 Authority Dashboard Data Visualization, AI Live heatmaps; alert logs; E FIR; last known location 2 IoT Wearables IoT, Health Monitoring Optional for high-risk zones; SOS/manual signal 8.

Component Technology Focus Main Features Multilingual Support Accessibility 10 Indian languages; voice/text emergency 4 Data Privacy & Security Blockchain, Legal E2E encryption; data law compliance 5 9 Focus efforts on robust system architecture, user-centric design, interoperability, and privacy- first principles for maximum impact and real-world viability. 5 4 2 Blockchain ID system developer builds issuance, verification, and data storage APIs. Mobile app developer uses mock backend to simulate blockchain and AI inputs. AI anomaly detection developer uses simulated tourist movement data. Dashboard developer uses dummy data and mock APIs for alerts and digital ID access. Let’s focus on these four as of now and divide these tasks among 6 and within 3 days and in such a way integration can be done later or develop most of the stuff by one team member to avoid integration IoT developer creates wearable device firmware and simulated cloud communication. Security integrator develops encryption, authorization, and compliance modules independently. The above two IOT and Security integrator can be worked on later but give how to go about with this as well To divide the focus on the four key modules Blockchain ID system, Mobile app, AI anomaly detection, Dashboard) among 6 members within 3 days while minimizing the need for simultaneous integration, here is a proposed detailed plan: Task Division Among 6 Members for 3 Days Member Assigned Tasks & Focus Areas Details / Responsibilities 1. Blockchain ID System Lead Develop core issuance, verification, and data storage APIs on blockchain Build smart contracts, API endpoints, handle KYC data, travel itinerary storage, and emergency contact info securely. Create testing mockups for frontend consumption. 2. Blockchain Support & API Mock Developer Support Blockchain Lead and build mock backend services to simulate blockchain APIs Provide stable, reusable mock endpoints for mobile, AI, and dashboard teams to develop against. 3. Mobile App Developer Develop app UI/UX with features for safety score, panic button, geo- fencing alerts Use the mock backend for blockchain and AI inputs; enable real-time location simulation; multilingual support; panic button with mock live location sharing. 4. AI Developer Build AI models/simulation scripts to generate/analyze tourist movement data Provide anomaly detection logic (location drop- offs, inactivity, route deviations) and interface simulation. Generate mock alerts and behavioral flags via APIs..

5. Dashboard Developer Create dashboard frontend UI to visualize heatmaps, alerts, and access digital ID data Use mock APIs for incoming alerts, digital ID lookup, and last known locations. Build incident log and E FIR stub modules. 6. Integration & Testing Lead Coordinate data format standards, interface contracts; develop adapters to link modules later Prepare API specs, run integration tests between mock backends and frontends; ensure data consistency; prepare documentation. Workflow & Timeline Day 1 Focus on architecture planning, API schema finalization, and starting individual module core development. Day 2 Continue module development, progressively build and expose mock APIs; mobile and dashboard teams start consuming mocks; AI team simulates data outputs. Day 3 Finalize module logic, polish mock services, do internal testing with mocks; integration lead starts verifying API adherence, data contracts, and prepares for integration with adapters. Minimizing Integration While Ensuring Future Compatibility The Blockchain Support & API Mock Developer creates robust mock services that substitute real blockchain calls for mobile, AI, and dashboard developers. Mock data and service stubs allow each module to function independently while simulating the full data flow. Integration & Testing Lead ensures data models and API specs adhere to agreed standards, facilitating easy later linking. All team members use the same API contracts and data format documents maintained centrally. Handling IoT and Security Integration Later IoT Developer: When ready, develops wearable firmware and simulated cloud communication as standalone; builds APIs compatible with existing dashboards and alert systems based on current mock service specs. Security Integrator: Independently designs encryption, data privacy, and compliance modules; creates security layers around existing APIs and data flows; later integrates with blockchain, mobile, and backend modules. Both roles work with stable API contracts and mock data to prepare for smooth merging. This plan allows simultaneous focused development without requiring live integration, leveraging mocks and strict interface discipline. Later, modules can be connected efficiently with adapters and integration testing. The integration/testing leadʼs role is key to prepare and validate standards for seamless final system assembly.