Project information
- Category: Mini project
- Client: FST Settat
- Project date: 01 January, 2021
- Project URL: www.fsts.ac.ma
Description
My project focuses on utilizing machine learning to develop an application capable of learning from user-provided data to produce results similar to those achieved by a human, specifically in the context of facial recognition. This project is built upon artificial intelligence principles. I have practically implemented this concept in a specific use case: employee entry management within businesses. The application detects the faces of individuals entering through a doorway and determines whether they are employees or not. If the person is an employee, the door opens automatically; otherwise, a message displays stating 'You do not work here.' For this project, I utilized several components, including Raspberry Pi 3 Model B+, Raspberry Pi 3 Camera V1.3 (5MP, 1080p), an L293D integrated circuit, a breadboard, and a stepper motor. The technologies employed encompass OpenCV, Pillow, and NumPy...
Project information
- Category: Web application
- Client: Z-smart
- Project date: 10 August, 2021
Description
The project aims to establish, design, and implement a web application for managing and tracking requests for administrative documents. This web application will consider all the potential constraints that may arise when applicants request documents online. Our web application allows applicants to submit document requests remotely, track the progress of their requests, and file complaints in case of delays or errors. Additionally, it offers various other services. The web application enables the administrative entity's personnel to process incoming requests. Furthermore, the application allows the administrator to manage all administrative entities, view statistics, and assess performance within the administration.
Project information
- Category: Web application
- Client: FST Settat
- Project date: 2 January, 2023
Description
Web Application for Scientific Publications Management: Utilizing Spring Boot and Angular. Implementation of features including user authentication, publication management, and publication search.
Informations sur le projet
- Catégorie : Application web
- Client : FST Settat
- Date du projet : Avril 2023
Description
I have developed a JEE project: The purpose of this project is to create an air traffic simulator. This simulator is designed to track the flights and ground stations of a certain number of aircraft and address air traffic control challenges. It leverages well-crafted graph theory algorithms to provide a solution to this intricate task. The project's air traffic simulator offers an immersive experience by simulating the real-world interactions between aircraft and ground control. Users can monitor the movements, routes, and statuses of multiple planes as they navigate the virtual airspace. The simulator accurately replicates various scenarios, including take-offs, landings, flight path adjustments, and potential emergencies, presenting users with an opportunity to practice and refine their air traffic control skills.
Informations sur le projet
- Catégorie : Mini-projects: Python
- Client : FST Settat
- Date du projet : January 2023
Description
The first mini-project involves creating a graphical interface using Tkinter, a Python library for user interface development. The interface allows the user to manipulate matrices using the NumPy library for matrix creation and manipulation.
The second mini-project focuses on creating a graphical interface using Python's Turtle module. The interface enables users to draw the famous fractal curve known as the Von Koch curve, also referred to as the Koch snowflake. The Von Koch curve is constructed using recursive iterations to create a complex and fascinating shape. The interface provides simple tools to control the number of iterations and observe the gradual formation of the Von Koch curve as it evolves. This is an excellent way to explore fractal concepts and visualize how intricate patterns emerge from simple processes.
Informations sur le projet
- Catégorie : Application web
- Client : FST Settat
- Date du projet : June 2023
Description
I've introduced an interactive chatbot on the FST Settat website, catering to students' queries and needs. This AI-driven chatbot employs advanced algorithms to swiftly and accurately respond to inquiries about university-related matters. Unlike other solutions, our innovation is finely tuned to the specific concerns of FST Settat students. By seamlessly integrating it into the university's website, I've created a personalized tool tailored to the academic environment. The chatbot's advanced algorithms ensure a seamless user experience and provide contextually relevant answers. The impact of this innovation is noteworthy on a socio-economic scale. It streamlines students' access to relevant information, thus boosting efficiency and productivity. Moreover, it lightens the administrative load by automating responses to frequently asked questions, freeing up resources for more critical tasks. Beyond its practicality, our chatbot cultivates a sense of community among students, fostering collaboration and engagement. In essence, my innovation enhances operational efficiency and student engagement within FST Settat, leading to positive socio-economic outcomes.
Contact
Avez-vous des commentaires ou des questions? Nous serions très heureux de vous entendre.
Location:
EL HARBOULIA RUE 33 N°43,BENI MELLAL
Email:
ayoubhamdi612@gmail.com
Appel:
+212675082248
Contact
Avez-vous des commentaires ou des questions? Nous serions très heureux de vous entendre.
Location:
EL HARBOULIA RUE 33 N°43,BENI MELLAL
Email:
ayoubhamdi612@gmail.com
Appel:
+212675082248