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aminemoussi/README.md

👋 Hi, I'm Amine MOUSSI

I'm a Postgraduate Engineering Student specializing in the convergence of Embedded Systems and Artificial Intelligence. My passion lies in developing intelligent robotic systems through deep learning and computer vision techniques.

🎯 About Me

  • 🎓 Software Engineering Student specializing in AI and Data Science
  • 🤖 Focused on bridging hardware capabilities with AI technologies
  • 🧠 Deeply passionate about neural networks and their applications in robotics
  • 🔍 Exploring physics-informed machine learning approaches
  • 🌐 Experienced in network infrastructure and security implementations

🛠️ Technical Stack

Languages

languages = ['Python', 'C', 'C++, 'Java', 'SQL/PL-SQL']

Core Competencies

  • Artificial Intelligence

    • Deep Learning & Neural Networks
    • Computer Vision Systems
    • Machine Learning (Linear/Logistic Regression, SVM, KNN)
    • Model Optimization & Training

  • Robotics & Embedded Systems

    • Computer-Aided Design/Engineering
    • Fusion 360
    • Electronics & Mechanics
    • Physics-Informed Systems

  • Data Science

    • Data Processing & Analysis
    • Pandas, NumPy, Matplotlib
    • Power BI
    • Database Architecture & Optimization

  • Network & Security

    • FTTH/ADSL/4G Technologies
    • Network Infrastructure Design
    • Encryption Systems (AES/DES)
    • Security Protocol Implementation

🔗 Connect With Me

📊 GitHub Current Stats

aminemoussi's GitHub stats

GitHub Streak

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  1. djikstra-s_algorithm djikstra-s_algorithm Public

    Implementing Djikstra's algorithmn a graph (tree) to see the smallest distance between two chosen nodes and displaying the distance between them, the code displays two the graph using the Networkx …

    Python 1

  2. gaussian_elimination gaussian_elimination Public

    Implementing the mathematical theorem gaussian elimination in python to solve a system of n equations.

    Python

  3. ML_LinearRegressor1 ML_LinearRegressor1 Public

    This model predicts medical insurance based on (age,sex,bmi,children,smoker,region) of a patient, it has 1339 instances, used seaborn and PyPlot to visualize the data distribution, data was preproc…

    Python

  4. ML_SupportVectorMachine ML_SupportVectorMachine Public

    Support vector machine applied on data seeds, accuracy earned = 86%.

    Python