Table of Contents

1. Introduction

2. Purpose and Scope

3. Key Components

4. Architecture Diagram

5. Layer Descriptions

6. Data Flow Description

7. Tools and Technologies Used

8. Risk Analysis

9. Conclusion

10. References

1. Introduction

This document outlines the high-level architecture of a digital platform designed for solo travelers visiting Sri Lanka. It ensures user-centric design, scalability, and efficiency through modern technologies.

2. Purpose and Scope

Purpose: To provide a structural overview of the platform’s architecture to guide its development and deployment.

Scope: Includes user interaction, backend processing, AI/ML integration, external services, and security measures.

3. Key Components

3.1 Users

Solo travelers accessing features like booking, navigation, landmark recognition, and real-time updates on mobile devices.

3.2 Frontend

Developed using React Native with TypeScript, offering real-time UI updates, offline access, and intuitive navigation.

3.3 Backend

Serverless architecture with Firebase for authentication, business logic, and API integrations.

3.4 AI/ML Integration

TensorFlow.js powers image recognition, personalized recommendations, and natural language processing.

3.5 Data Storage

Firebase Firestore for scalable NoSQL databases and Cloud Storage for multimedia content.

3.6 External APIs

Google Maps for navigation, SLTDA APIs for tourism data, and real-time transport/weather APIs.

3.7 Monitoring and Security

Firebase Analytics tracks user behavior, TensorBoard monitors ML models, and Role-Based Access Control ensures security.

4. Architecture Diagram

5. Layer Descriptions

5.1 User Layer

Represents travelers interacting with the platform via mobile devices.

5.2 Presentation Layer

Handles UI/UX with intuitive navigation and real-time updates.

5.3 Business Logic Layer

Executes application logic on Firebase and integrates external services.

5.4 AI/ML Layer

Provides AI/ML-driven features for real-time image recognition and personalized suggestions.

5.5 Data Layer

Stores structured and unstructured data using Firestore and Cloud Storage.

5.6 Integration Layer

Connects the platform with Google Maps, SLTDA, and other APIs.

5.7 Security Layer

Ensures secure data interactions and privacy compliance.

6. Data Flow Description

1. Users interact with the mobile app.

2. Data flows from the frontend to the backend via Firebase Cloud Functions.

3. Backend processes requests, integrates AI/ML models, and fetches data from APIs.

4. Results are stored in Firestore or sent back to users.

5. Monitoring tools track performance and usage metrics.

7. Tools and Technologies Used

8. Risk Analysis

Integration Risks

Mitigated through compatibility testing and modular development.

Performance Risks

Handled using scalable cloud infrastructure and caching.

Security Risks

Managed with encryption, audits, and GDPR compliance.

User Adoption Risks

Addressed by intuitive design and onboarding tutorials.

9. Conclusion

This document provides an overview of the architecture for a scalable, secure, and user-friendly solo traveler platform. It emphasizes efficient data management, seamless user interaction, and robust security measures.

10. References

• Firebase Documentation.

• TensorFlow.js Tutorials.

• Google Maps API Documentation.

• SLTDA Tourism Data Resources.