Hello! I'm Mohamed Khalil Azzabi, an Insat Student and Chairman of The IEEE NPSS INSAT SBC. Welcome to my space where I showcase my passion for technology and innovation.

👨‍💻 Full Name: Mohamed Khalil Azzabi Student and Chairman of The IEEE NPSS INSAT SBC
🔭 I'm currently working on Eurobot international competition with my team.
🌱 I’m currently learning Edge AI computing and RNNs 👯 I’m looking to collaborate on some AI-driven projects for Robotics and Aerospace
📫 How to reach me: LinkedIn | Email

Revolutionizing epilepsy management with edge AI and LSTM models, our integrated solution predicts seizures 10 minutes in advance using EDA sensors. It features a seamless ecosystem with a wearable band, mobile app, and web platform for real-time monitoring and alerting.

Eurobot 2024 Project: AI-Driven Robotic Navigation Overview In the Eurobot 2024 competition, our team is developing an autonomous robot focused on innovative AI and advanced navigation capabilities. This project presents a blend of mechanical engineering, software development, and artificial intelligence to tackle the unique challenges set by the competition.

• Autonomous Navigation: Implementing state-of-the-art algorithms for pathfinding and obstacle avoidance to ensure efficient and accurate movement within the Eurobot arena.
• Task Automation: Programming the robot to perform tasks such as repotting plants, orienting solar panels, ensuring pollination, and managing energy resources autonomously.
• Strategy Optimization: Utilizing AI to develop dynamic strategies for maximizing points and efficiency based on real-time data and environmental analysis.

• Robot Operating System (ROS) for integrating various hardware and software components.
• Machine Learning for predictive analytics and decision-making processes.
• Computer Vision to accurately perceive the environment and interpret visual data for task execution.

• Developing a robot that can autonomously navigate a complex environment with precision.
• Creating an intelligent system capable of making real-time decisions based on sensor inputs.
• Ensuring robust and reliable performance under competitive and varying conditions.

• Successfully implemented basic autonomous navigation and sensor integration.
• Developing machine learning models for enhanced decision-making and task performance.
• Experimenting with computer vision techniques for improved environmental interaction.

Avatario: A mobile app blending AI-driven chatbot technology, personalized avatars, and educational games for child development. Utilizes RWKV language model, Python, and machine learning for performance analysis and parental insights. Repository includes source code, training datasets, and implementation guides. in this project I did the ChatBot part.

I'm always open to collaborating on interesting projects and ideas. If you're interested in working together or contributing to any of my projects, feel free to reach out! Thank you for visiting my profile. Let's connect and create something amazing together!