Hi 👋, I'm Mohamed Amine

I am a computer vision engineer with experience in embedded software development.

Welcome to my GitHub profile! I am a computer vision engineer with a background in embedded software development. Here you will find a collection of my personal projects and contributions to open-source projects. My expertise lies in utilizing machine learning and computer vision techniques to solve real-world problems.

I am always eager to learn new technologies and techniques, and I am excited to continue growing as a developer in this field.
Please feel free to check out my projects and contributions, and let me know if you have any questions or comments.

⚙️ My Projects :

🎨AI Artistic Generation projects:

• Neural Style Transfer with Tensorflow and Keras

🔬 My model exploration projects :

• Visualizing what convnets learn :
  • Visualizing Filters of a CNN
  • Visualizing heatmaps of class activation in an image
  • Visualizing intermediate layers activations

🔎 My object detection projects :

• YOLOv8 Custom Object Detection
• YOLOv8 Object Detection, Tracking and Counting
• Deploying a YOLOv3 Object Detection model with FastAPI
• YOLOv5 Object Detection
• YOLOv3 Simple Object Detection
• Real-time Facial Recognition with Python Dlib
• Facial Recognition with Python Dlib module

⚙️ My image classification projects :

• Visualizing what convnets learn
• Keras CNN cats vs dogs image classification
• Birds 450 species image classification
• Transfer Learning with MobileNetV2 for Cats vs Dogs Image Classification
• INTEL landscape classification
• MNIST Digits and Fashion CNN image classifiers
• Building a simple Neural Network from scratch

📖 My old projects :

• Virtual Painter Using OpenCV and Hand Detection
• Mini-Game-with-hand-gesture-and-opencv
• Neural-Network-from-scratch-using-Python
• Esp32 iot temperature and humidity monitoring with firebase real time data-base
• Digital-Lock-with-VHDL-state-machine
• Sensor-data-visualization-with-esp32-and-python

💻 What I'm currently working on

📌 Maintaining and improving my own custom made dlib functions for face recognition:

• Adding more exception handling features .
• Adding KNN algorithm for facial features search to reduce search time and improve recognition precision when dealing with large csv files.
• Adding more database functionnalities.
• Adding object tracking functionnalities to increase frame processing speed and overall FPS througput.

📌 Training and deploying a real-time custom object detector.
📌 Creating AR interactive video games with Unity 3D and hand gestures.

📖 What I'm currently learning

• Custom Object Detection using YOLO algorithms.
• Deep Learning and image processing with Python, tensorflow and keras.
• Deep Learning with PyTorch.
• MLOps.
• GANs : Generative Adversarial Networks.
• Automation with Python.

💻 Programming languages and IDEs :

• Languages:  

• IDEs :  

🛠️ Tools and Frameworks :

📚 ML frameworks :

Tensorflow	Keras	Scikit-learn	Dlib

📊 Data visualization and image processing :

Matplotlib	OpenCV	Pillow	Pandas	Numpy

♻️ Version control :

Git	Github

💻 Development boards :

STM32	Arduino	Esp32

📫 Where to find me

• LinkedIn : Mohamed Amine Ben Abdeljelil 👨💼
• E-Mails : mohamedamine.benabdeljelil@insat.ucar.tn -- medamine.benabdeljelil.99@gmail.com