AMINE ESGHIR

During my internship, I worked on a project to design and develop a user-friendly interface for diagnostic testing using Unified Diagnostic Services (UDS) and Diagnostic Trouble Codes (DTC). The interface was built using the QT framework, a powerful and flexible tool for creating graphical user interfaces. The primary objectives of this project were to: - Develop an intuitive and user-friendly interface for diagnostic testing using UDS and DTC - Implement the QT framework to create a robust and scalable interface - Ensure seamless communication (CAN / CAN FD) protocol between the interface and the diagnostic testing equipment

During my internship, I worked on a project aimed at improving the storage capacity of batteries by developing a hybrid storage system that mitigates power peaks and increases their lifespan. This innovative approach enables more efficient energy storage and reduces the strain on batteries, leading to a longer operational life. To achieve this goal, I employed a range of software and hardware tools, including: - SIMULINK : Utilized for modeling and simulating the hybrid storage system to optimize its performance and identify potential bottlenecks. - Python : Implemented for data analysis and processing, as well as for developing algorithms to manage the hybrid storage system. - Kivy : Used to design and develop a user-friendly interface for monitoring and controlling the hybrid storage system. - Arduino : Employed and integrated Fuzzy Logic for prototyping and testing the hybrid storage system's hardware components. - Raspberry Pi : Utilized as the central processing unit for the hybrid storage system, responsible for executing the optimized algorithms and controlling the system's operations.

The Smart Parking System is an innovative project that aims to provide an efficient and convenient parking experience for drivers. The project involves designing and developing a smart parking system that guides drivers to available parking spots, reducing congestion and parking time. The Smart Parking System consists of two main components: * Parking Lot Modeling: - Using AutoCAD, I created a detailed 2D model of a parking lot, including parking spaces, lanes, and obstacles. This model served as the basis for simulating and testing the smart parking system. * Lighting and Sensor System: I designed and developed a prototype of a smart parking system using Arduino UNO, which included: - A sensor system to detect the presence of vehicles in each parking space. - A lighting system to indicate available parking spaces, using LED lights. - A microcontroller (Arduino UNO) to process sensor data and control the lighting system.