Planing
Client
Nomhut
Year
2024
Nomhut: Building an AI-Based Travel Companion for Smarter, More Personalized Trips
● The Challenge
The challenge was to design Nomhut, an AI-powered travel planner MVP, that could bridge this gap by intelligently learning user preferences and curating personalized itineraries. The goal was to blend local hidden gems with popular attractions in a way that matched each traveler’s style, ultimately making every journey feel meaningful and memorable
● The Plan
The founding members initiated the integration of artificial intelligence into the tourism sector, aiming to provide personalized travel arrangements for each explorer through AI
To enhance understanding amongst all stakeholders and lay the groundwork for the app's design, I started with the Information architecture and wire framing of the App.
● Design
Splash Screen And Login
I needed to make the onboarding flow as smooth and catchy as possible so an animation was made while introducing the logo
Login screen is shown after the splash screen were the user can login with their registered email id or via other social platforms
● Design
Onboarding Flow
If the user need to register in the app as a new user he should go through the onboarding flow
Onboarding flow is designed as a workflow as shown below
● Design
Finding the taste of the user
If the user need to register in the app as a new user he should go through the onboarding flow
Its like the bot interacts with the user to know their interests,the illustration of the bot is made by using the brand colours
● Design
Home Screen And Stays
Below that dual tone icons are used to indicate various activities and it is horizontally scrollable
A banner is user to display the most exciting offer or a paid ad.
When clicked on any of the activity the app. will show recommendation for that
When the user click on stays that are featured are shown and the user can edit it from icon in the search bar
When designing the UI for detailed page of each stay I made sure that the users are aware of the price of the stay, the photos uploaded by the owner and other travellers, reviews posted
The detailed page also shows the major amenities provided by that stay clearly
● Design
Quest Flow
This was the major selling point of this app were the users can get Ai based travel recommendations according to the input provided by them
The whole process is turned to a workflow where the user should enter their preferences, The process is indicated by using a progress bar above which will enlighten the user how many times should they press "Next"
● Design
Results from the Query
As the user gives their choices for the trip, it is fed into the LLM to create personalized travel recommendations
This can be edited from the same page using the filters were the sorting option is also present
When the user selects any of the trip suggestion he can click on the card for a detailed view
From the detailed view, if he is not interested in a particular activity, the user is able to specifically edit that using the edit icon associated with each card
● Design
Sharing the plan
To add a social element to the app we gave the users the ability to share and invite their friends to the trip that they made
