🧩Core Technology
Last updated
Last updated
Automatic Enrollment: When users enter their flight information into the DApp, smart contracts automatically handle the insurance enrollment process.
Condition Setting: Enrollment conditions (e.g., delay times, compensation amounts) are recorded on the blockchain, ensuring transparency. Payment
Automatic Payment: If users select paid insurance, the smart contract automatically processes the payment using ORB coins or other cryptocurrencies.
Real-Time Payment Confirmation: Upon payment completion, insurance enrollment is confirmed immediately, and this process is recorded on the blockchain. Compensation Processing
Automatic Compensation: When conditions such as flight delays or cancellations are met, smart contracts automatically initiate the compensation process.
Immediate and Transparent Processing: Compensation is processed without delays and recorded on the blockchain. ORB Coin and Other Cryptocurrency Integration
Compensation Tool: ORB coins are used as the primary means for compensating insurance subscribers.
Platform Liquidity: ORB coins are traded within the platform and can be used to purchase additional insurance products and other services.
Payment and Compensation: Various cryptocurrencies, including Bitcoin and Ethereum, are integrated as payment and compensation methods.
Scalability: The platform plans to integrate more cryptocurrencies in the future. Security and Transparency Design
Immutable Records: Records of smart contracts are stored on the blockchain and cannot be altered.
Automated Processing: Contracts are executed automatically without intermediaries, enhancing speed and reliability.
Encryption: Data and transaction histories are encrypted, and smart contract code undergoes security audits.
Decentralization: Smart contracts run on a decentralized network, eliminating single points of failure. Data Collection Methods
Flight Information: Collects flight information entered by users. Check-In/Check-Out Data: Collects check-in and check-out information provided by users.
Surveys and Feedback: Collects travel-related surveys and feedback.
Real-Time Flight Status: Gathers real-time flight status through airport and airline APIs. User Behavior Data: Automatically collects user behavior data within the DApp.
Weather Information: Collects weather data from external sources to predict potential flight delays.
Travel-Related Data: Collects external data on travel trends and price fluctuations. Data Security and Privacy
Encryption in Transit: Protects data transmission using SSL/TLS encryption protocols. Encryption at Rest: Data stored in databases is encrypted.
Permission Management: Minimizes and manages data access permissions.
Anonymization and Pseudonymization: Anonymizes or pseudonymizes personal identifiers for analysis.
GDPR Compliance: Data collection and processing comply with GDPR and other regulations.
Data Retention: Data is retained only for the necessary period and securely deleted when no longer needed. AI-Based Analysis and Personalized Recommendation System
Data Preprocessing: Prepares data for AI/ML model training. Behavior Pattern Analysis: Analyzes user behavior data to learn preferences.
Clustering and Segmentation: Groups users based on similar behavior patterns.
Travel Recommendations: Provides travel destination suggestions based on users' past records and behavior patterns.
Insurance Product Recommendations: Analyzes travel routes and risks to recommend suitable insurance products.
Historical Data Analysis: Analyzes past data to predict price fluctuations.
Real-Time Price Monitoring: Tracks flight price changes in real-time.
Price Alerts: Provides notifications when prices drop to predefined levels.
Recommendation Timing: Suggests the optimal times for purchases.
Preferred Airlines and Routes: Recommends the lowest fares based on user preferences.
Various Filter Options: Offers filter options to support personalized recommendations. User Experience and Interface Design
Custom Dashboards: Allows users to customize dashboards according to their preferences. Real-Time
Feedback Loop: Incorporates user feedback instantly to continuously improve the service. This project aims to securely collect and protect data, provide personalized travel experiences through AI-based analysis, and maximize user convenience with a lowest fare flight recommendation system and intuitive UI/UX design.
