Thomas Diaconu

Projects

Selected software engineering and AI projects.

  • Waste detection

    Computer Vision, Python, Tensorflow. Detection and classification of diverse type of waste as part of my semester project. Grade: 20/20. Developed a piece of code to test a pre-trained neural network (provided in checkpoints files), and evaluated its performances with classical metrics: 0.8 precision, 0.4 recall, 0.5 F1-score Built and cleaned a large dataset of∼ 4k pictures and implemented YOLO model (based on the official research paper)

  • Text classifier

    NLP, Python, Scikit-Learn, Jupyter Notebook. Explored various NLP tools & text preprocessing methods Compared several supervised models and picked the best one: obtained an accuracy > 95 %

  • Check the place

    Angular, TypeScript, JavaScript, HTML/CSS, Git. Built an Angular web application for students where they can share places they visited Designed & implemented about 10 screens. Deployment on Azure Cloud for the presentation

  • Image labelling with VoTT

    Python. A way to label images for computer vision using VoTT.

  • Propagation of mechanical waves in muscles

    Python, LabView, Physics concepts. Participated in the development of a software capable of analyzing the signal generated by the wave Measured the celerity of the wave & physically modelled the arm by a Melde rope