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  • University of Malta
  • Malta

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wecet/README.md

Hi There 👋

I'm a MSc in Artificial Intelligence student at the University of Malta

Recently I submitted and graduated with my thesis titled 'Mobile Gait Analysis', also winning Best ICT Project for Social Impact alongside a runners-up spot at Tech.mt's Best ICT Academic Project. Just a small outline, the thesis aims to classify regular and irregular 'gait cycles' using a smart-phone or smart-device. The thesis is now published by the International Journal of Semantic Computing following a presentation at the IEEE BigMM Conference.

Currently I am employed at iGolf.One as an AI Specialist in which I mainly work with Python. But past employments made me proficient in languages such as Javascript (Node and React) and C++

Although my academic inspiration in the AI in Medicine/Health Care bubble, I have experience working with NLP, Computer Vision and Machine/Deep Learning applications. Moreover, more published work includes experience with Dynamic Difficulty within an AI in Education solution.

About Me

I'm a 22 year old student currently reading for my Masters in Artificial Intelligence at the University of Malta. But besides that, I'm an avid cyclist and footballer. I also really enjoy listening to music.

Python Python Python Python


Languages

Jupyter Python Java C++ ReactJS

Tools

VS Code Anaconda Azure

Pinned Loading

  1. Human-Activity-Recognition-From-Smartphones Human-Activity-Recognition-From-Smartphones Public

    Using Android Phone inertia sensors such as gyroscopes and accelerometers to determine and identify human activity. Classified using SVMs, KNN, Decision Trees and Logistic Regression for Supervised…

    Jupyter Notebook 5

  2. Detection-of-Constellations-in-Astronomical-Images Detection-of-Constellations-in-Astronomical-Images Public

    Combining Computer Vision and Machine Learning to detect constellations from preset astronomical images

    Python

  3. Deep-Learning-for-Gender-Classification-from-Text Deep-Learning-for-Gender-Classification-from-Text Public

    Given a large corpus of labelled text, this experiments builds a deep recurrent neural network to classify whether the phrase is either 'male' or 'female'

    Jupyter Notebook

  4. Comparison-and-Review-of-Pose-Estimation-Implementations Comparison-and-Review-of-Pose-Estimation-Implementations Public

    Comparing the performance of the BlazePose and the MoveNet-Thunder frameworks in the tackling of the Pose Estimation problem

    Jupyter Notebook 2 1

  5. Experimenations-in-Reinforcement-Learning Experimenations-in-Reinforcement-Learning Public

    Experiment 1: Comparison of key bandit algorithms; Experiment 2: Comparison of Q and SARSA Learning on Taxiv3 environment' ; Experiment 3: Comparison of Q, SARSA and CEM Learning on LunarLanderv2 E…

    Jupyter Notebook 2

  6. Phoneme-Analysis-and-Classification Phoneme-Analysis-and-Classification Public

    Given a very large dataset of speech from the British Isles, all were manually inputted into the .csv file attached by generating an average value for each of the 3 formants present in the audio. T…

    Jupyter Notebook 1