Inspiration

On my way to San Francisco, I had the luxury of having a 9-hr layover at Tokyo. I had a transit visa but despite that, I was pretty clueless about what to do, where to eat, etc. It was my dream to explore the beauty of this city despite that it was very stressful when that experience was hinted with the stress of figuring everything out.

What it does

Our platform can be integrated on any trip booking site(Cheapflights, uber) or you can book flights from our site directly. If you have a long layover we recommend you the best tourist spots in the city. The best part is you get to try the delicious cuisine of the city while you travel as we also allow restaurants on the way to let you know if they have any food samples or leftover food!

How we built it

We used the Amadeus API to get flight and layover details, and the Tomtom API, to let restaurants notify us if they have any food leftover or food sampling left. We are working on Python and Flask. We are also using messaging services to notify the user about any cool attractions nearby and options to try out cool cuisines on the way.

Challenges we ran into

We faced few challenges in integrating multiple APIs into a single platform because one was meant to be used with python and the other was meant to be used with JavaScript.But we managed to figure it out in the end.

Accomplishments that we're proud of

The accomplishment that we are most proud of is that we built something that we would love to use in the real world.

What we learned

  • We learnt a lot about Flights and their predictive delays
  • We learnt about maps integration
  • We learnt about Amadeus
  • We learnt about TomTom

What's next for Next Tech

-We plan on using AR for people to be able to visualize the food in the menu and decide on food portion sizes before ordering

-Customize how much food to buy based on how much food you eat -We will plan full vacation solutions for multiple days, along with hotels, what to do each day based on the group of users

-Using the kind of data like restaurant reviews, user preferences, which stops they liked disliked we get a huge database of users and the types of hobbies they prefer which can be used for targeted ads in the future

-We will make carpooling services, which are safe and connect people from similar backgrounds to travel long distances together.

-Report if baggage is lost

-Recommendation of flight sent to your mail early on for vacation planning

-Pull full vacation trips, along with hotel

-We will plan full vacation solutions for multiple days, along with hotels, what to do each day based on the group of users

-Using the kind of data like restaurant reviews, user preferences, which stops they liked disliked we get a huge database of users and the types of hobbies they prefer which can be used for targeted ads in the future

-A grocery shopping list of the user will be inputted, recommended path to go to collect it all will be displayed

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