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gestions on what clothes to wear on the same day or
the following day, depending on the weather forecast-
ing, and to provide suggestions on what clothes to
pack for a trip. With the information stored, the aim
is to understand consumer habits in various aspects
such as trends in the use of clothing items, mainte-
nance practices, etc.
ACKNOWLEDGEMENTS
This contribution has been developed in the context
of Project “BE@T: Bioeconomia Sustent
´
avel fileira
T
ˆ
extil e Vestu
´
ario-Medida 2”, funded by “Plano de
Recuperac¸
˜
ao e Resili
ˆ
encia” (PRR), through measure
TC-C12-i01 of the Portuguese Environmental Fund
(“Fundo Ambiental”). To improve the manuscript’s
text, some AI-based tools have been used, such as
Google Translator and Writefull.
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