Welcome to my GitHub 👨💻! I am Amir Salah Eddine Daoudi, an enthusiast in Artificial Intelligence, Data Science, Web Developpement and Embedded Systems. Currently, a 5th-year engineering student, I specialize in solving complex challenges with innovative and scalable solutions.
🎓 AI and Data Science student with a strong drive for impactful projects and advanced Machine Learning algorithms.
🏆 2nd Place Winner of AXA’s Best Computer Science Student Challenge 2024.
🌍 Active in collaborative, multidisciplinary projects, leveraging technologies like YOLO, TensorFlow, and PyTorch.
Beyond my public repositories, I have led highly confidential AI-driven automation projects for private clients, leveraging state-of-the-art AI agents and intelligent automation systems to streamline business processes and enhance decision-making.
💡 Notable Contributions (Under NDA):
- 🚀 Autonomous AI Agents: Developed self-learning AI agents capable of adapting to dynamic environments, optimizing workflows, and executing complex tasks with minimal human intervention.
- 🏆 AI-Powered Business Automation: Engineered end-to-end AI automation pipelines, transforming inefficient manual workflows into self-optimizing systems that reduce costs and boost productivity.
- ⚡ Real-Time Data Intelligence: Designed custom AI-driven analytics platforms, allowing businesses to extract actionable insights from large datasets in real-time, accelerating data-driven decision-making.
- 🤖 Conversational AI & Smart Assistants: Built next-generation AI chatbots with context-aware NLP and multimodal capabilities, providing clients with intelligent, autonomous virtual assistants that redefine customer experience.
🚨 Due to the private nature of these projects, details remain confidential. If you're interested in discussing how AI agents and automation can revolutionize your business, feel free to reach out!
📩 Contact me to explore how AI can take your operations to the next level.
- Developed AsphaltNet, a lightweight CNN model optimized for real-time classification.
- Created the AIDER dataset, consisting of 8,500+ annotated images for detecting floods, fires, and collapses.
- 📦 Technologies: Python, TensorFlow, NVIDIA Jetson Nano, OpenCV.
- Designed during the Euro Defense Tech Hackathon, based on SiamRCNN.
- Achieved exceptional accuracy in tracking and detecting objects in complex environments.
- Challenge: Delivered a robust solution in under 24 hours.
- Analyzed 5 years of customer data, performed segmentation using Machine Learning.
- Proposed optimized marketing strategies tailored to customer segments.
- 📊 Technologies: pandas, scikit-learn, Seaborn.
- Programming Languages: Python, JavaScript, SQL, R.
- ML Frameworks: TensorFlow, PyTorch, Hugging Face.
- Embedded Systems: NVIDIA Jetson, Docker.
- Data Visualization: Matplotlib, Seaborn, Plotly.
- Collaboration Tools: Git, GitHub, Agile methodologies.
📚 Specializing in Deep Learning and Artificial Intelligence.
🤖 Developing projects combining AI, Computer Vision, and Robotics.
💡 Exploring real-time data processing for cutting-edge applications.
I aim to develop AI-driven solutions that turn ambitious ideas into real-world impact. Whether it’s building ultra-fast AI models for drones or analyzing large datasets for strategic decision-making, every project I work on is designed to solve tangible problems.
- ✉️ Email: daoudiamirsalaheddine@gmail.com
- 💻 Portfolio
"Innovation begins where we dare to explore the unknown." 🚀
