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Decoding Health's Enigma: Unveiling Tomorrow through Data's Whisper.
En aquest projecte extraiem dades rellevants i representacions de la mobilitat dels estudiants de la UPC, i oferim possibles solucions per a millorar el moviment dins de la AMB.
OutfitGPT, always with a good outfit.
We created a rater by feeding an embedder of lists of images into a neural network. The result is a proof of concept of how to make a NN learn the characteristics of MANGO-designed outfits
We are members of 2 people taking up the hackathon challenges. We chose to solve Urban Mobility challenge. Team Members: Arystan Igan Srirupa Ghoshal
We adopted a convolutional neural network approach, we create a general image with the product images of each outfit, and feed the model with it to train it.
Prediction of future expenses by hospitals to manage their supply chain with the objective of avoiding stockouts while improving the sustainability of the transportation.
We have analysed previous yearly cycles to estimate the seasonal demand, and consequently employed automated models to predict the expenses by product and optimise distribution on the year 2023.
En este proyecto MANGO puede elegir una prenda de ropa y se le devolverá un outfit con esa prenda
React data analyzer built by Cristian Mesa, Alex Moa and Artur Farriols
Prediction of purchases and reduction of emissions
We have created a GPT-2 model that creates outfitl with Mango dataset of clothes. Then, it creates a possible photo of how the outfil could look like.
UPC SOSTENIBLE challenge for Datathon 2023
Members: Nil Garcia, Angel Morales, David Gonzalez, Oriol Canal
This project consists on the reduction on the amount of decision that a customer has to made in order to create an outfit.
Elena is a personal shopper assistant for Mango clothing brand
Mixing and matching awesome outifts using the power of friendship (and graphs).
Using our tool you will be able to create outfits matching one chosen clothing item
After analyzing data from surveys about the modes of transport used by UPC students, we came up with practical utility for helping to reduce the carbon footprint of their daily mobility to UPC.
In this project we apply an ARMA/GARCH model to forecast the purchase amount of each type of medical supply that a collection of hospitals have to restock throughout the year 2023.
#mobility #UPC #sustainability #publictransport #commuting
A project that allows you to combine your favorite Mango clothes!
Improving healthcare suppliance in Spain through comprehensive data analysis. Our project leverages diverse models for predictive insights, prediction hospital purchases for 2023.
Medical product's price has increased by over 20 % in the last years, making a bigger financial burden for today's hospitals. We intend to optimize hospital spending to allow more breathing room.
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