About Me
Passionate Problem Solver
I'm a dedicated Computer Science graduate student at TU Dresden with a passion for creating innovative solutions through code. My journey in technology is driven by curiosity and the desire to build meaningful applications that make a difference.
Currently pursuing advanced studies in Computational Modelling and Simulation, track in Visual Computing, I specialize in computer vision, machine learning, and web development. I believe in continuous learning and staying updated with the latest technological trends.
Featured Projects
Cicero: AI Public Speaking Coach
A chatbot coach providing feedback on public speeches. It automatically extracts audio metrics, facial emotions, and speech transcripts for analysis using GPT 4.0, OpenCV, and Librosa.
Neural Networks: UAE Wildlife Image Generation
Generated new images of UAE wildlife using Stable Diffusion and utilized YOLOv6 for object detection on generated imagery. Achieved a 100% grade and is ongoing research for publication.
Computer Vision: Recyclable Item Detection
Developed models to predict bounding boxes for four categories of recyclable items using the Zero Waste dataset. Explored Detectron2 (TridentNet, RetinaNet, Mask R-CNN) and SOTA models (YOLOv6, YOLOv8, RT-DETR).
Machine Learning: IoT Intrusion Attack Prediction
Predicted four types of IoT intrusion attacks using SVM, KNN, Naïve Bayes, and Decision Tree. Utilized feature selection methods like K-Best and Univariate Analysis, achieving average F1 Scores over 97%.