Suggest available air tickets
Select Image and Departure date
Analyze user's interest and preferrence by selecting images

Inspiration

There are a lot of wonderful place in the world which you don't know. It takes a lot of time to find out what country the scenery is in, what airport to go to, how much time and money it will cost. We wanted to and solve this problem using our apps.

What it does

At first, a list of the landscape images is estimated from the user's input preference and presented on the screen. According to the image the user choose, our app analyzes the name and the position of the landscape and proposes the most suitable travel plan for you.

How I built it

Front The purpose of the front-end is to show the best plan of a travel for a user. For the purpose, the user can choose 5 favorite scenes. Their scenes is sent to the back-end system, and then the front-end can get the set of the similar scenes. The user chooses the only single scene from the silmilar scene. Finally, the user can get the best 3 paln of the travel.

Backend Backend server are built by "Flask" Framework (Python) on the AWS EC2 instance. And image contents are placed on the AWS S3 bucket to deal with many data.

Challenges I ran into

To suggest the same cattegorry landmark, we performed a series of machine learning processes such as data collection, annotaion and learnning.

We focus on how to reduce user input.In conclusion, we mainly made use of images, made visually easy to understand, and made an interface that all people can operate.

Accomplishments that I'm proud of

to accomplish the plan according to the original goal decided.

What I learned

With the shortest time, I got the ability to think of the best method and implement it.

What's next for AutoTravelPlanGenerator

Currently, our apps proposes options of the ticket you can buy to go to the place you choose. Our future work is to propose related tourist spots and hotels you can stay at using other APIs.