Case Study

Navigating Paris with a Personalized Mobile Travel Experience

February 18, 2025
5 mins
By
Buddhishan
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Client

Harry Sevi & Nicolas Richard, Hani, Paris, France

Client Description

Hani is a Paris-based travel tech startup that delivers preference-based, location-specific recommendations, helping travelers discover Paris in a way that matches their interests.

The Project

Fcode Labs partnered with Hani, a Paris-based travel guidance app, to transform how travelers explore the city. By leveraging user-generated inputs and a proprietary database, Hani delivers personalized recommendations based on travelers' preferences, ensuring a more immersive and engaging experience.

The Challenge

Hani required a scalable and intuitive platform to provide customized travel recommendations while handling real-time location data and user preferences. The platform needed efficient data management, dynamic content filtering, and robust analytics to track user engagement. Understanding Parisian travel culture and user behavior was essential to crafting an authentic experience.

Impact

Hani has successfully redefined travel exploration in Paris, offering intuitive, culturally aware recommendations. By integrating real-time data and user insights, the app enhances engagement while ensuring hyper-personalized suggestions. The admin web portal provides analytics and content management tools, enabling the Hani team to continuously refine and optimize user experiences.

Tech Stack

  • ReactJS for building a responsive and interactive front-end experience.
  • NestJS for a scalable, efficient backend framework built with TypeScript.
  • PostgreSQL as the relational database to manage user data, ride details, and payments.
  • Docker for creating containerized environments to improve development and deployment efficiency.
  • Terraform for Infrastructure as Code (IaC), allowing for consistent and scalable cloud infrastructure management.
  • AWS for a reliable and scalable cloud environment, ensuring high availability and performance of the platform.

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