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🧑‍💻
Turning coffee into code ☕
🧑‍💻
Turning coffee into code ☕
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AFLucas-UOM/README.md

Andrea Filiberto Lucas

👨🏻‍🎓 Student at the University of Malta

🧑🏻‍💻 About Me

🎓 I am excited to be delving into the fascinating world of AI and its applications. My time at UOM has given me a solid foundation in a variety of technical fields, including programming, data analysis, and machine learning.

💻 I'm constantly improving my skills through hands-on experience with a variety of programming and markup languages, ensuring versatility across tech stacks and platforms.

🤝 I'm always looking to collaborate on exciting projects! If you have an idea or want to work together, feel free to reach out!

📫 How to Reach Me

☕ Buy Me a Coffee

If you’d like to support my work, consider buying me a coffee! Your support fuels my late-night coding sessions and helps me keep my projects open-source.

Or simply scan the QR code below:

Buy Me a Coffee QR Code

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  1. Classification-of-Lung-Respiratory-Sounds Classification-of-Lung-Respiratory-Sounds Public

    This project is focused on the automated classification of lung sounds using machine learning techniques, aimed at improving the diagnosis of pulmonary diseases such as asthma, pneumonia, and COPD.

    Jupyter Notebook 2

  2. ARI2131-AI-Driven-Early-Detection-System-for-Dyslexia-and-ADHD ARI2131-AI-Driven-Early-Detection-System-for-Dyslexia-and-ADHD Public

    This project primarily focuses on addressing the issue of early detection of learning disabilities in students, with a specific focus on dyslexia and attention deficit hyperactivity disorder (ADHD).

    Python 2

  3. ICS2207-Viola-Jones ICS2207-Viola-Jones Public

    The Viola-Jones object detection framework, introduced in 2001 by Paul Viola and Michael Jones, represents a breakthrough in the field of Computer Vision (CV), particularly in the domain of real-ti…

    Python 1

  4. yourTunes yourTunes Public

    yourTunes is a javascript based web application, hosted through flask able to indentify a user's emotion and play relevant music.

    JavaScript