https://jjcit.org/paper/174 10.5455/jjcit.71-1652434864 Inès Zribi,Lamia Hadrich Belguith Intelligent personal assistant,Tunisian Arabic,Speech recognition,Natural-language understanding,Dialog management,Response generation,Speech synthesis 4 4382 874 6-Jun.-2022 9-Aug.-2022 27-Aug.-2022 Intelligent systems powered by artificial intelligence techniques have been massively proposed to help humans in performing various tasks. The intelligent personal assistant (IPA) is one of these smart systems. In this paper, we present an attempt to create an IPA that interacts with users via Tunisian Arabic (TA) (the colloquial form used in Tunisia). We propose and explore a simple-to-implement method for building the principal components of a TA IPA. We apply deep-learning techniques: CNN [1], RNN encoder-decoder [2] and end-to-end approaches for creating IPA speech components (speech recognition and speech synthesis). In addition, we explore the availability and free-dialog platform for understanding and generating the suitable response in TA for a request. For this proposal, we create and use TA transcripts for generating the corresponding models. Evaluation results are acceptable for the first attempt.