Etudiant : JAMAOUN ABDELCHAFIK

Filière : Master Smart Industry (M2SI)

Encadrant : Pr. NAJI MOHAMED

Annèe : 2025

Résumé : The remarkable rise of generative artificial intelligencedriven by technological breakthroughs The positive outcomes of this project highlight the significant potential of generative AI to limitations of fragmented information systems, outdated human-machine interfaces, and the are key to competitiveness, intelligentassistants are becoming essential tools for digital respect data confidentiality, operational constraints, and internal governance. By avoiding the to develop a robust, modular, and scalable system capable of understanding natural language enhance productivity, decision-making, and digital maturity in industrial settings. Furthermore, generative AI, cutting-edge foundation models such as GPT and Mistral, and advanced assistantautonomously and in real time. such as Transformers and Large Language Models (LLMs)is opening up promising new documentation and enhance operational support within Maroc Modis.”Faced with the It is within this context that our final-year project was conceived, with the objective to this project reinforces the importance of developing custom, in-house solutions that fully To meet this ambitious goal, we adopted a state-of-the-art methodology that combined value tasks, while repetitive, documentation-heavy processes are handled reliably by the transformation. reduce the time spent searching for technical information, improve the accuracy of interventions queries and delivering contextualized, traceable responses derived from internal the real-world constraints and needs of an industrial production environment. inefficiencies of manual searches, our approach aimed to deliver a custom solution tailored to In the strategic domain of smart manufacturing, where information access and responsiveness documentation. The successful implementation of the Ask-AI assistant demonstrated its ability to dramatically in the field, and streamline knowledge access across teams. Operators can now focus on higher risks of commercial black-box platforms, our approach ensured full control over model architectures like Retrieval-Augmented Generation (RAG). This holistic approach enabledus “design and implement a generative AI-powered assistant to improve access to technical perspectives for enhancing operational efficiency and accelerating innovation across industries. behavior, data sources, and deployment flexibility. Ultimately, this study confirms the strategic role that generative AI can play in the digital Maroc Modis can gain a lasting competitive advantage and strengthen their leadership in a such as Graph RAG for diagram and schematic understanding, voice interaction for hands-free operational partner. Improvements in role-based access, feedback-driven learning, automated Looking ahead, several perspectives can further extend the value of this solution. Enhancements prompt validation, and offline/edge deployment will ensure scalability, adaptability, and secure usage in various production environments. These evolutions will help position Ask-AI as a truly transformation of industrial companies. By leveraging the full power of emerging technologies rapidly evolving global market. assistance, and real-time SCADA/IoT integration can transform the assistant into a proactive while complying with regulatory standards and focusing on tailormade designcompanies like enterprise-grade tool, fully aligned with the long-term Industry 4.0 ambitions of Maroc Modis.