ekyc

Electronic KYC process with uploading ID document using OAuth 2.1 (experimental)
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_acknowledgement.tex (1710B)


      1 \addchap{Acknowledgement}
      2 
      3 Prior to commencing this thesis, it is necessary to acknowledge the individuals and resources that have contributed to the completion of this work. \\
      4 
      5 Firstly, the thesis draws upon a previous thesis project conducted by Mr Loïc Fauchère in 2023, under the supervision of
      6 Mr Emanuel BENOIST as advisor and Mr Daniel VOISARD as expert \cite{KYCPAAS}. \\
      7 
      8 This work concerns the drafting of a service platform allowing third parties to carry out KYC procedures by manually verifying identity documents taken in photographs as well as different selfies of users in different positions.
      9 Thus, this thesis, which follows this work, will be supervised by the same people in the same roles (M. BENOIST and M. VOISARD). \\
     10 
     11 Initially, the report and source code were used directly, but then they were progressively replaced. The technology influence (initially Adonis JS and Typescript) was retained and subsequently replaced with Deno and Typescript. \\
     12 
     13 Secondly, as a tangible application of this service platform developed at work, I integrated the service into GNU Taler, a privacy-friendly payment platform \cite{GNUTaler}.
     14 As such, I was able to benefit from the assistance of Mr Christian GROTHOFF, who is a core developer on this project as well as a lecturer at the BFH.
     15 In particular, he provided a presentation on the KYC process in Taler via OAuth2 (see section \ref{OAuth2-API}). \\
     16 
     17 Finally, the work is also based on a set of tools derived from artificial intelligence. These include ChatGPT, which was initially employed in the thesis but was subsequently superseded by other AI, including the two models from DeepL (Translate and Write) \cite{DeepLTranslate,DeepLWrite}.