Design and development of Steppsy mobile app – smart sightseeing planner

A comprehensive design and development project for a mobile app that generates personalized sightseeing plans based on user preferences, weather, and location – tailored to the world’s most visited cities.

Project duration

15 months

Team

3 people

Technologies used

Challenges

The goal of the Steppsy project was to build a travel app that not only looks great and is easy to use, but also dynamically generates sightseeing plans in real time. The main challenges revolved around the planning algorithm, user experience, and selecting the right technology for cross-platform support.

  • Trip planning algorithm

Based on input from users (location, preferences, trip duration, weather, number of people), the app had to generate a logical and realistic sightseeing plan. We developed a custom algorithm that works efficiently even on low-resource devices.

  • Usability and aesthetics

Steppsy was meant to be enjoyable from the very first tap. We ensured visual consistency and built a custom UI component system, guided by carefully defined user flows.

  • Choosing mobile technology

The app needed to work seamlessly on both Android and iOS. Before development, we conducted a technology evaluation and selected React Native as a reliable, production-tested framework for cross-platform apps.

The biggest challenge was creating a dynamic, personalized trip planner that performs smoothly under a wide range of technical and user-specific conditions.

Solution

Based on user insight, we created Steppsy – a mobile app that generates sightseeing plans in just five steps. The project covered all stages: from functional strategy and UX/UI to backend development and final deployment.

Outcomes:

  • A fully functional mobile app for Android and iOS
  • Custom algorithm generating real-time sightseeing plans
  • Offline planning mode, not dependent on internet access
  • Responsive, intuitive user interface
  • Integrations with Twilio, SendGrid, mapping tools, and transport data providers
  • App prepared for future scaling and feature expansion

Results

15

Months from idea to launched app – MVP with all key features delivered.

1

Trip-planning algorithm designed to generate accurate sightseeing plans.

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Mobile platforms running on Android and iOS from a single codebase.

100%

User personalization – weather, time of day, preferences, group size, and more.

How did we achieve this?

Feature narrowing

We focused on the most essential user flows and removed unnecessary features. This helped maintain simplicity, clarity, and real usability from the start.

Mobile application

We built the app in React Native – running smoothly on both Android and iOS. A shared codebase ensured consistent performance across platforms.

Deployment

Steppsy was launched with full MVP functionality and is ready for scale. The system structure allows for further development and feature expansion.

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Ideation phase

We started by identifying core user needs and must-have features for the MVP. This allowed us to design a product that directly supports real travel scenarios.

Feature narrowing

We focused on the most essential user flows and removed unnecessary features. This helped maintain simplicity, clarity, and real usability from the start.

Back-end & design

Back-end & design

We began work on a stable .NET Core backend and the UI design in parallel. The design process balanced visual aesthetics with interface clarity.

Mobile application

We built the app in React Native – running smoothly on both Android and iOS. A shared codebase ensured consistent performance across platforms.

Testing and optimization

Testing and optimization

The app was tested in multiple phases – from UX to performance and stability. We optimized each step to ensure a seamless user experience.

Deployment

Steppsy was launched with full MVP functionality and is ready for scale. The system structure allows for further development and feature expansion.

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