Faculté des Sciences appliquées
Faculté des Sciences appliquées

Master thesis : Integration of a chatbot in Industry 4.0

Christiaens, Nicolas ULiège
Promotor(s) : Geurts, Pierre ULiège ; Ledent, Quentin
Date of defense : 5-Sep-2022/6-Sep-2022 • Permalink :
Title : Master thesis : Integration of a chatbot in Industry 4.0
Translated title : [fr] Intégration d'un chatbot dans l'industrie 4.0
Author : Christiaens, Nicolas ULiège
Date of defense  : 5-Sep-2022/6-Sep-2022
Advisor(s) : Geurts, Pierre ULiège
Ledent, Quentin 
Committee's member(s) : Ittoo, Ashwin ULiège
Huynh-Thu, Vân Anh ULiège
Ledent, Quentin 
Language : English
Number of pages : 91
Discipline(s) : Engineering, computing & technology > Computer science
Institution(s) : Université de Liège, Liège, Belgique
Degree: Master : ingénieur civil en science des données, à finalité spécialisée
Faculty: Master thesis of the Faculté des Sciences appliquées


[en] Nowadays, many tasks can be automated moreover the number of interactions necessary for a user to find the information he is looking for can also be decreased. It is on
these two foundations that this thesis was based to create a chatbot that could be integrated into Technifutur environment but which would be based on a global architecture
that could be integrated into other companies with the same objectives. We decided
on two main objectives which were to answer the questions of the user on a particular
domain, and also to answer and advise the user regarding the training offered by Technifutur while keeping in mind that the chatbot should respond as much as possible like
a human, allowing maximum flexibility and control. An important fact that is very
challenging for this thesis is that we assume that all chatbot users speak French while
the large majority of natural language processing (NLP) works are in English.

To develop our thesis, we had first to explore the different state-of-the-art (SOTA)
models and tasks in NLP which are constantly and rapidly evolving during the last
years, in order to define which techniques were the most suitable for creating the chatbot. We then developed an architecture based on two distinct models on two different
tasks. These models were trained using publicly available data as well as custom data.
The database of training offered by Technifutur has also been connected to the architecture in order to provide the most up-to-date information possible and a very simple
interface has also been created so that the user is in a simplified environment when
interacting with the chatbot.

The final result meets Technifutur’s expectations because the chatbot already allows
to answer about one hundred questions covering a large majority of the questions usually
asked by users. Additionally it also allows some flexibility in the form of the question
asked by the user, and it gives access to a tool allowing its improvement on two axes
according to user feedback. This will allow it to be more and more complete over time
while maintaining strict control and interesting customization. It also makes it easier
to look after and register for a training compared to the current Technifutur website
by offering a new search system that greatly surpasses the one used previously.



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  • Christiaens, Nicolas ULiège Université de Liège > Master ingé. civ. sc. don. à . fin.


Committee's member(s)

  • Ittoo, Ashwin ULiège Université de Liège - ULiège > HEC Liège : UER > UER Opérations : Systèmes d'information de gestion
    ORBi View his publications on ORBi
  • Huynh-Thu, Vân Anh ULiège Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Algorith. des syst. en interaction avec le monde physique
    ORBi View his publications on ORBi
  • Ledent, Quentin
  • Total number of views 60
  • Total number of downloads 0

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