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OptiFlow Innovators optimize storage and distribution of medical products to hospitals, blending historical data with a focus on supply chain robustness and environmental sustainability.
This is the best fashion generator. Period. Núria Llopart, Miquel Ropero, Pol Margarit and Pau Hidalgo
Speed is a key factor when it comes to the use of private or public transport. Thus we have studied the time travel to the faculties of the UPC using both kinds of transport, and how to improve it.
Outfit generator from mango's database using advanced algorithms and a graphic interface that allows to complete an already half done outfit.
A project that integrates AI to address one of the major issues in the fashion world, the creation of new outfits. Creating an interface that, when given a clothe, generates compatible outfits.
Be sustainable, pollute less, be UPC.
Takes advantage of types in dataset to improve performance
Graph
The project aims to enhance user experience in online shopping by recommending outfit substitutions based on visual similarity and product relations in established outfits.
After determining which are the factors that take students to choose their commuting method, we created a startup that will give UPC students rewards for commuting by in a sustainable way.
Fashion recommender, crafted by engineers. It's your digital stylist, blending technology with fashion to create perfect outfit combinations based on trends and personal style.
We build a generative system which recommends outfits to the user based on an initial clothing item, achieving real-time inference latency through the use of an innovative approach.
We have taken the input as sequential events and trained with models that take that into account.
Transform any piece into a perfect outfit with our neural network magic. Effortless style in a snap!
In this project, a prediction for 2023's supply demand is made, based on the information of the previous 8 years.
In this project we study the way students go to several UPC campuses and in particular study the biking use and infrastructure in Barcleona.
Develop outfit prediction
We develop a model to predict wether any two products can go in an outfit together. This can be useful for recommending additional items for online shopping on the fly.
Multimodal agent for outfit creation
Identifying our patterns of movement in the UPC
Authors: -Oriol Monge Gironès -Adrian Quirante González -Miquel Roca Solé -Arnau Pons Oliván
Our Machine Learning project for the NTT Data challenge.
Multimodal embedding fashion compatibility. Outfit generation with AI.
In fashion, we've created a model that crafts outfits from limited data, following key design principles. With RandomForest we're not just predicting trends; we're setting them in the fashion world.
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