Introduction:
When it comes to airline travel, issues like baggage problems, flight cancellations, late refunds, and late flights can be major sources of stress.
To help travelers make informed decisions, Data Scalp has developed real-time analysis of airline flight data.
By generating four graphs that display the top three best and worst airlines for each issue, the site aims to help users choose the right airline for their needs.
Requirement:
The website is designed to provide users with real-time analysis of airline flight data, enabling them to make more informed decisions when choosing an airline.
Specifically, the site focuses on four key issues that are commonly associated with air travel: baggage problems, flight cancellations, late refunds, and late flights.
Being this data, the site generates four graphs that highlight the top three best and worst airlines for each of these issues.
Solution:
To power the website, a pure Python backend has been developed and deployed on AWS using a Docker image as a Lambda function.
This function is automatically triggered every eight hours using the AWS EventBridge service, ensuring that the site can scale up or down as needed to handle traffic spikes.
Data for the graphs is collected in real-time from users who report incidents on the website. This data is then processed and analyzed to determine the top three best and worst airlines for each issue.
Once the analysis is complete, the website generates four graphs that display the results in an easy-to-read format. These graphs are hosted on AWS S3, where they can be quickly and easily accessed by site users.
Result:
Thanks to this innovative website, travelers now have access to real-time analysis of airline flight data that can help them make more informed decisions when choosing an airline.
By focusing on four key issues - baggage problems, flight cancellations, late refunds, and late flights - the site provides users with essential information that can help them avoid stress and travel more comfortably.
Deployed on AWS using a Docker image as a Lambda function, the site is scalable, highly available, and designed to deliver fast, reliable performance.
Overall, this website is a valuable resource for anyone looking to make smarter, more informed decisions when traveling by air.
Hope you found the above helpful.