SCRAPLINE

Project Title

SCRAPLINE

Project Area of Specialization

Computer Science

Project Summary

The project which we named as ScrapLine is actually for checking Availability of tickets from a place to another without contacting an Airline site or directly from the Airport. The special feature which we want to add in here is that our web app would Scrape data from different Websites live and would show it on ours plus as we would compare those choices and recommend to the consumers which package is best for them. Another Option we want to add it here's to add a flight cancellation predictor which would predict flight cancellation rate through weather forecast conditions and all. This App would provide , efficient, accurate, reliable, fast, and robust structure.As before this app if someone wants to check out online tickets they have to check every website of different airlines to check if there are availability of tickets or not. After this Web Application we can provide data to them at a single platform with clearly shown differences of Fares and other facilities like flight cancelation predictor and all plus we will add recommendation column for their ease of selection which would help them a lot.

Project Objectives

Our major target is to provide an updated and authentic data to our consumer at a single platform.
He can check his flights availability till the cheapest departure time with help of some tools which would help him to choose correct airline for himself.
This thing would help them to fetch all user required data from every related website to a single platform which would automatically save his time and a good recommended deal for his ease of selection.
As before this app if someone wants to check out online tickets they have to check every website of different airlines to check if there are availability of tickets or not. After this Web Application we can provide data to them at a single platform with clearly shown differences of Fares and other facilities like flight cancelation predictor and all plus we will add recommendation column for their ease of selection which would help them a lot.

Project Implementation Method

In here we are using Agular cli for web Application at visual code studion and .net language for backend and for our key feature we are using machine learning and for that we are using google co lab.

Benefits of the Project

Flights deals

Here we will give users different flight deals given by different Airlines at a single platform for their ease. We will also recommend some packages according to the situation.

Cheap flights

After fetching data from related websites we’ll have a good collection and here we can add filters in which if they want a cheap ticket single way or a two way cheap ticket then we can show them through an ascending order.

Time Flexibility

Our Web App would help them to pick anytime according to data as in their would be data from multiple websites and similarly with different time intervals from which user can choose any time for according to his plans.

Authenticity

Our data would be selected or fetched from an official websites of an Airline which would be authentic and Clear.

Flight Cancellation predictor

This Feature would help user to check if there would be any chance of flight cancellation as this would help him to get mentally prepared or choose another time slot which would be suitable for him.

Technical Details of Final Deliverable

When users entered their desired data on a web application they would start receiving multiple trips from different airlines. There would be a section on top labeled as recommended flight at which a single flight would be selected by our algorithm which would help users to select the best option for them. The best part is our flight cancellation predictor which would totally depend on the weather.