AeroEase
Seamless Travel, Powered by AI: Personalized, Proactive, and Predictive Solutions for a Frictionless Airline Experience.
Created on 2nd October 2024
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AeroEase
Seamless Travel, Powered by AI: Personalized, Proactive, and Predictive Solutions for a Frictionless Airline Experience.
Describe your project
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In-Scope Features
Personalized Travel: AI stores passenger preferences and personalizes the booking, check-in, and in-flight experiences.
Disruption Management: Predictive analytics proactively rebooks passengers and updates itineraries during flight changes.
Resource Optimization: AI improves crew scheduling, fuel usage, and maintenance, reducing costs.
Real-Time Connectivity: IoT and 5G provide real-time updates for luggage tracking and passenger communication.
Biometric Checkpoints: Facial recognition and self-service kiosks streamline airport processes. -
Out of Scope
No physical airport infrastructure changes.
No air traffic management or regulatory modifications. -
Future Opportunities
Expansion into ground transportation and healthcare.
Integration with smart airports.
Adding sustainability and personalized customer loyalty programs.
Challenges we ran into
Problem:
During development, we faced a significant issue with real-time data synchronization between the airline's backend system and the passenger-facing mobile app. When passengers received flight updates or rebooking notifications, there was a noticeable delay, leading to inconsistent information being displayed.
Cause:
The issue was traced to the API response times and how data from the airline’s servers was being fetched and cached by the mobile app. The synchronization between the backend system and the frontend app wasn't optimized for high traffic loads.
Solution:
Optimized API Calls: We reduced unnecessary API calls by introducing webhooks that triggered only when specific events (like flight delays or rebookings) occurred, ensuring faster response times.
Real-Time Data Streaming: Implemented WebSocket connections to ensure persistent, real-time data streaming between the backend and the mobile app, minimizing lag.
Caching Mechanism: Improved the caching mechanism to refresh data only when needed, preventing delays in displaying critical information.
By integrating these optimizations, we reduced the data delay, providing passengers with up-to-date, real-time information without lag.
Tracks Applied (1)
7. Problem statement shared by Akasa Air
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