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Adamkhald/README.md

Hi, I'm Adam Khald 👋

I'm an AI & Data Science Engineering student at ENSAM Meknès, passionate about building intelligent systems and exploring how machine learning can solve real-world problems. I enjoy working on projects that challenge me to learn new techniques and apply AI in practical ways.

🔬 Research Interests

  • 🧠 Machine Learning & Deep Learning: Exploring different applications and methodologies
  • 🤖 Artificial Intelligence: Understanding how AI techniques solve complex problems
  • 📊 Data Science: Turning data into actionable insights and intelligent systems
  • 🔍 Applied AI: Building practical solutions that make a real impact

🛠️ Technical Skills

AI/ML & Data Science

  • Frameworks: TensorFlow, PyTorch, YOLO, OpenCV
  • Languages: Python, R
  • Tools: Data analysis, visualization, database management
  • Focus: Deep learning, time series prediction, model optimization

Development

  • Languages: Python, C#, C++, Java, Kotlin, R, SQL
  • Web: Next.js, React, Tailwind CSS
  • Infrastructure: AWS, Git/GitHub, embedded systems
  • Other: Algorithm development, problem-solving

🚀 Projects

Insight-Ray

AI-powered chest X-ray analysis system for automated detection of 14 thoracic abnormalities. Fine-tuned YOLOv8 model on the VinBigData dataset with integrated natural language explanations.

Tech Stack: YOLOv8, PyTorch, OpenCV, Python, Flask, Google Gemini AI

Trajectory Prediction for Autonomous Vehicles

Time series prediction system for autonomous vehicle trajectory forecasting using CARLA simulation environment.

Tech Stack: TensorFlow, Python

ColFi - Asset Finance Management DApp

Decentralized application for financial asset management, handling collaterals and bonds for financial institutions.

Tech Stack: Next.js, React, Tailwind CSS, AWS, Hyperledger Fabric

Check out my repositories for more projects exploring AI, machine learning, and intelligent systems!

🏆 Recognition

  • 🥇 Innov'am 2024 - 1st Prize for autonomous TGV bogie inspection robot (with Siana)
  • 🥉 Innovathon 2024 - 3rd Prize for innovative no-code solution

🎯 Current Focus

  • 🔭 Exploring AI research and different problem domains
  • 📚 Building projects that deepen my understanding of machine learning
  • 🌱 Learning research methodologies and best practices
  • 🎓 Preparing for PhD applications in AI

📫 Let's Connect

"The best way to learn is to build. The best way to understand is to teach."

Popular repositories Loading

  1. gridworld-RL gridworld-RL Public

    Reinforcement learning playground for grid world environments. Experiment with multiple RL algorithms (Q-Learning, SARSA, DQN), track performance, and compare agents. Includes customizable environm…

    Jupyter Notebook 1

  2. breiman-cart breiman-cart Public

    Implementation of Breiman's CART (Classification and Regression Trees) algorithm

    Python 1

  3. Adamkhald Adamkhald Public

    Hi, I'm Adam Khald 👋

  4. InsightRay InsightRay Public

    Insight Ray is a desktop application designed to assist doctors by quickly analyzing medical images using artificial intelligence. It allows users to import images and use an AI model to classify t…

    Jupyter Notebook

  5. colfi-internship-dapp colfi-internship-dapp Public

    This project is a blockchain-based web application developed during my internship at Colfi, focused on investing and collateral management.

    TypeScript

  6. dalil_ai dalil_ai Public

    Your Private AI Research Lab. A comprehensive, offline-first platform for Machine Learning, Deep Learning, and Reinforcement Learning. No cloud required.

    Python