Arsalan Zabeeb

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Computer Vision Deeplearning Engineer

View the Project on GitHub Arsalanzabeeb786/arsalanzabeeb

Deeplearning Engineer | Computer Vision

I am a self-taught deep learning Engineer and love to work on computer vision projects. I also share what I have learned by teaching Python and deep learning on YouTube & on a platform called Preply. I have taught for more than 190 hours and maintained a rating of 4.8. Here is the link for that.

My Skills

Certification

Education

Projects

Summary: This project involves constructing a neural network from scratch using Python libraries like NumPy and Pandas. The neural network is trained on the MNIST dataset, focusing on handwritten digits. It features an architecture with a single hidden layer and output layer, along with key components such as data preprocessing, neural network architecture, forward propagation, backward propagation, and loss function.

Technologies: Python, NumPy, Pandas, Matplotlib

Vehicle Tires Health Condition Detector

Summary: To Enhance vehicle safety with our deep learning-based Vehicle Tires Health Condition Detector. This project classifies tire images as “perfect” or “defective” using transfer learning with MobileNet_v2, providing real-time detection through a Gradio web interface. The dataset, sourced from Roboflow, is split into training, validation, and test sets. Experiments are tracked using Weights and Biases.

Key Features

Technologies: Keras ,Tensorflow, Python, NumPy, wandb, CNN, Transferlearning, Mobilenet_V2, Matplotlib

Experience

Contact Information