DRÄXLMAIER Tunisia PFE Book Sousse HUB

Dear Future Innovators, Looking for a challenging and rewarding end-of-studies internship? Join DRÄXLMAIER Tunisia, Sousse-HUB Plant , and turn your ideas into reality through impactful projects in a dynamic industrial environment. Discover our internship topics and apply for the project that inspires you most Project Number Project Name Description Tasks Profile Required Skills Number of Interns Duration 01 Smart Employee Transportation Management System This project aims to develop a digital solution to automate transportation planning, optimize bus capacity utilization, and provide operational monitoring through interactive dashboards.
• design and develop an automate weekly employee allocation to transportation lines.
• Improve bus capacity utilization and reduce manual planning effort.
• Provide visibility on transportation performance through reporting and analytics.
• Enable simple tracking and follow-up of transportation-related complaints. Final-year Engineering Student in: Data Science, Industrial Engineering, Information Systems, Data Analytics •Python •Microsoft Power Apps •Power Automate •Power BI •SharePoint / Dataverse •Excel & Power Query 1 6 Months 02 Conception of Mobile Security Patrol Robot for Industrial Site Surveillance and Remote Interaction The proposed project aims to design and develop an autonomous or semi-autonomous rover capable of performing security patrol missions, detecting anomalies, streaming live video, and enabling remote interaction between operators and personnel on-site.
• State-of-the-Art Study and Requirements Analysis
• System Architecture Design
• Mobile Robot Design and Integration
• Surveillance and Remote Interaction Development
• System Validation and Performance Testing
• Documentation and Knowledge Transfer Final-year Engineering Student in: Robotics Engineering, Mechatronics Engineering, Artificial Intelligence Artificial Intelligence | Automation Systems | Problem-Solving | Programming (Python/C++) 2 6 Months 03 Intelligent KPI Automation & Analytics Platform this project aims to design and develop an intelligent platform that automates KPI collection, validation, reporting, and analysis while ensuring full traceability and governance of business data.
• Automated data ingestion and processing pipelines
• A centralized KPI repository
• Data validation and governance mechanisms
• Interactive Power BI dashboards for management
• KPI anomaly detection and monitoring capabilities
• An AI-powered business insights assistant
• Automated reporting and notification workflows Final-year Engineering Student in:Data Engineering ,Business Intelligence ,Data Analytics ,Artificial Intelligence ,Enterprise Information Systems •Power BI •SharePoint •Microsoft Graph API •Power Automate
• Python 1-2 6 Months 04 Centralized SAP QM Knowledge & Lessons Learned Platform Today, SAP QM know-how (procedures, transaction guides, recurring issues and their solutions, lessons learned from incidents and projects) is spread across emails, files, and people. The goal is to build one centralized platform with Power App to capture, organize and share this knowledge.
• Analyze the current situation and collect needs from SAP QM key users
• Develop the platform: knowledge articles, lessons learned forms, categories/tags, advanced search, submission and validation workflow, user roles
• Integrate with company login (SSO) if possible
• Optional: AI-assisted search or chatbot over the knowledge base
• Test, deploy and train the first users Engineering student in Software Engineering, Computer Science, or Industrial IT Web development: front-end and back-end (preferably with hands-on experience and project work involving Microsoft Power Apps / Power BI) 1 4 to 6 months 05 Development of an AI-Driven Visual Management System for Projects Monitoring Design of an AI-based visual management tool for efficient projects tracking and decision-making. The system automates data analysis and project performance monitoring.
• Define project monitoring requirements.
• Develop AI-powered dashboards and KPIs.
• Automate data analysis and reporting.
• Monitor project progress, risks, and performance.
• Validate and deploy the solution with stakeholders. Final-year student (Bac+5) in Engineering School or Master's Degree Industrial Engineering, Project Management, Data Science, Artificial Intelligence, Computer Science, or a related field. Power BI, Excel, Power Query, AI, and Data Analytics Dashboards and visual management tools English Good Communication, Initiative and innovation 1 6 Months Note: Please ensure that you provide us with English Cv, otherwise your application will not be taken into consideration and make sure you applied for only one PFE subject and indicate the chosen one(Project Number) in your application. Apply Now Company / Legal Entity: DACT Draexlmaier Automotive Center Tunisia S.
C.
S. Sousse