Our students work

NexTravel was designed to simplify personalized itinerary building by consolidating fragmented travel planning into a single tool. Based on user research and competitive analysis, the project replaces the stress of juggling multiple apps with one intuitive space where travelers can efficiently research and organize their entire journey.

An analysis of the venture capital landscape was developed to identify high-potential startups often overlooked by traditional investment models. By uncovering “value gaps” in existing funding patterns, this data-driven project provides a strategic framework to help investors reclaim lost opportunities and back a more diverse range of successful ventures.

HealthBridge was designed to streamline communication between patients and providers. By centralizing records and scheduling through user-focused design, Claudia simplified complex healthcare management into a single, intuitive experience.

A data-driven project designed to analyze and visualize community-driven perspectives. By leveraging a technical process involving data extraction and exploratory analysis, Fabiana tackled the challenge of interpreting complex social data to uncover meaningful patterns.

A mobile app that teaches children safety skills through interactive play. The design process addressed the challenge of making safety education engaging rather than frightening for kids, while providing parents with peace of mind. By combining user research with storytelling and interactive challenges, Liaisan created an intuitive solution that empowers children to navigate real-world situations with confidence and awareness.

Saro is a “rest-first” task planner created to help users manage productivity without burnout by prioritizing recovery. Her design process addressed the problem of traditional planners focusing solely on output, often at the expense of well-being.

SmallTeam is a project management tool tailored specifically for small teams who find traditional enterprise software too complex and overwhelming. The process focused on solving the problem of feature bloat by conducting user research and interviews to identify the most essential collaboration needs.

Liza performed an Exploratory Data Analysis (EDA) on UK Higher Education graduate outcomes to reveal the system’s “hidden costs.” The key finding was that while education is rewarded, it is not rewarded equally, with the growing presence of women in higher education not translating into equal pay outcomes.

Colleen conducted a Data Analysis project on Airbnb’s impact on Barcelona, specifically investigating the effectiveness and timing of the city’s 2028 legislation to ban short-term rentals. The analysis aimed to answer the critical question of whether the city could afford to wait until 2028 to implement the full regulation.

Lucila developed DineWise, a system that solves the restaurant recommendation problem by moving beyond generic star ratings. This data-driven approach allows DineWise to recommend restaurants based on a diner’s specific behavioral patterns and values, ensuring a better match and higher satisfaction than traditional platforms.

Fashion Classifier is a computer vision model designed to automatically predict both the category and visual attributes of clothing items from images. The project solves the challenge of manually sorting apparel by providing accurate and fast item identification.

FolloWoofie is a mobile app to help dog owners quickly find and trust dog-friendly places. Annelaure’s design, based on user research, solved the problem of unreliable listings and owner anxiety by providing verified locations, map search, and personalized filters.

Priyanka focused on the Trust and Ethics of AI in Media for the Display Europe platform, which uses AI translation to help European newsrooms reach wider audiences. User research revealed that skepticism about AI translation accuracy was a major barrier to trust.

The final product aims to engage audiences and build community confidence in the platform’s ethical use of AI technology.

Ink-Link, a mobile app that streamlines the process of finding and booking a tattoo artist. Identifying that current methods (like Instagram) lead to fragmented information and uncertainty. The app allows clients to confidently filter artists based on style, location, and crucial personal preferences (e.g., vegan ink, studio type), ensuring a smooth, tailored booking experience.

Chrystal designed BikeSpot, a mobile app dedicated to making bike parking safer and easier for city cyclists. The process, revealed that the core issue for cyclists was not finding parking, but the perceived lack of safety and fear of theft.

Federica designed VOLART, a digital app dedicated to centralizing and simplifying arts volunteering in the UK cultural sector. Through extensive user research, interviews, affinity mapping, and usability testing, the project tackled the key pain points of scattered opportunities and time-consuming searches. The resulting platform is an intuitive solution that empowers individuals to confidently and efficiently find arts volunteering roles that match their skills, interests, and goals.

Lizeth Ortiz created Wanderfix, a mobile travel companion that uses AI to provide real-time transport alerts, personalized recommendations, and verified local tips. Designed to make day trips in Germany smoother and more rewarding, the app helps travelers avoid setbacks, plan confidently, and discover hidden gems.

Ana built an end-to-end NLP workflow to analyze user reviews from the Filmin platform. Using tools like BERTopic and Gradio, her project combines sentiment analysis, topic modeling, and interactive visualizations to uncover what users are really saying and feeling.

Ivana analyzed open data on global food production, greenhouse gas emissions, and climate anomalies to uncover how agriculture affects the planet. Her insights reveal the urgent need for sustainable food policies that balance production with environmental impact.

Alejandra explored how product design can address the growing issue of AI hallucinations. Her case study reimagines ChatGPT’s interface with features like tone toggles, inline verification, and prompt helpers — empowering users to collaborate with AI more transparently, not blindly.

Cece built DynaPT, an AI-powered fitness app that adapts to real-life routines. With features like Fit-n-Go workouts, flexible scheduling, and personalized plans, DynaPT helps users stay consistent — even when life gets messy. Built around the belief that consistency beats perfection.

Laurianne created Saf.ia, a neutral escrow app designed to simplify rental deposits and reduce disputes between landlords and tenants. Inspired by real-life frustrations and legal best practices, her product ensures trust, transparency, and smoother transitions throughout the rental process.

Dannah combined her experience as a nurse with product thinking to create FemInMind, a personal health companion for women. Designed to tackle fragmented tracking, the app brings together cycle, symptom, and medication logging into one intuitive platform — helping women feel more in control of their health.

Silvia designed a gamified travel app that rewards users for making sustainable choices. Through user research, testing, and thoughtful design, she tackled key barriers like lack of information and high perceived costs, empowering travelers to reduce their impact and make eco-conscious decisions more effortlessly.

Lili designed Mealify, a clean and intuitive recipe app focused on user needs. Through research, interviews, and thoughtful design choices, she created a user-friendly solution for meal planning and recipe discovery.

Ashley designed Shift, a user-centered app that helps remote workers in Barcelona find free and remote-friendly workspaces. Driven by personal insight and thorough UX research, she built a clean, intuitive platform that turns a frustrating search process into a smooth, community-driven experience.

An AI-powered tool that analyzes memes to detect sentiment and humor, using computer vision and NLP to explore how machines interpret internet culture.

Andrea built a sentiment analysis and topic modeling dashboard to uncover guest opinions in hotel reviews, helping hospitality professionals gain insights and improve customer experience.

A project that analyzes the electric vehicle market in Germany, identifying adoption trends and the key drivers behind the country’s shift toward sustainable transportation.

A DOTA 2 hero draft predictor built from scratch — deployed in under 12 hours.

Explore Olga’s model, which predicts and recommends books based on users’ past interactions, including reviews and ratings.

Join Melissa on her journey through AI, Data Science, and Machine Learning as a Product Designer.

An analysis for a market access project that provide insights into prevalent OCD medications by examining prescription trends and demographic patterns.

An app designed to simplify meal planning and preparation. Confidence in the kitchen made simple.

A service for finding and hiring trusted skilled labor workers and helping users find the best pro fit for their projects.

A community built guide to public ping pong tables around Barcelona

A mobile app tailored for mothers returning to the tech workforce by offering bite-sized skill refreshment in various programming languages, powered by smart AI assessments.

An app designed to let users have access to zero-waste options nearby, based on affordability and popularity after user community reviews, while earning points for future rewards.

A forum app feature designed to build communities for sustainability by promoting small business and practices to make communities more resilient and boost local economies.

Data analysis that solves questions about work life balance and how we can use these insights to make better decisions in our lives.

Data analysis that focuses on exploring some elements from the wine industry and its consumption patterns.

Data analysis that solves questions about dogs in Vienna and how can we use these insights to make business decisions.

Product Management case study about how to boost confidence among women in the Technology sector

Follow Claudia in her design process behind Wandermap: the map to discover the world’s most unique places.

The purpose of this project is to perform a data analysis about attacks to aid workers with data contained in the Aid Worker Security Database (AWSD)

Data Analysis with the aim of providing insights about the ski industry, skiers and income this sport generates for countries with ski resorts accros the globe.

Product Management project that proposes to build a mentoring platform to help users get their first job in tech

When thinking about issues we face whilst traveling, jet lag is often one which we take for granted. But, what else can we do to mitigate jet lag in order to get the most out of our trips?