> For the complete documentation index, see [llms.txt](https://deroute-ai.gitbook.io/docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://deroute-ai.gitbook.io/docs/product-and-technology/core-technology.md). # Core Technology
### 1. Insurance Enrollment, Payment, and Compensation Mechanisms #### Insurance Enrollment: * **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 ### 2. ORB Coin * **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. ### 3. Integration with Other Cryptocurrencies * **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 ### 4. Blockchain-Based * **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. ### 5. Enhanced Security * **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 ### 6. User-Entered Data * **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. ### 7. Automated Data Collection * **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. ### 8. External Data Sources * **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 ### 9. Data Encryption * **Encryption in Transit:** Protects data transmission using SSL/TLS encryption protocols. Encryption at Rest: Data stored in databases is encrypted. ### 10. Access Control * **Permission Management:** Minimizes and manages data access permissions. * **Anonymization and Pseudonymization:** Anonymizes or pseudonymizes personal identifiers for analysis. ### 11. Compliance with Privacy Regulations * **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 ### 12. AI/ML Model Training WNDJFMF 먁 * **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. ### 13. Personalized Recommendations * **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. ### 14. Lowest Fare Flight Recommendation System #### Price Prediction Models * **Historical Data Analysis**: Analyzes past data to predict price fluctuations. * **Real-Time Price Monitoring:** Tracks flight price changes in real-time. ### 15. Alert System * **Price Alerts:** Provides notifications when prices drop to predefined levels. * **Recommendation Timing:** Suggests the optimal times for purchases. ### 16. User Customization * **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 ### 17. Personalized User Experience * **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.