Final year major project comparing frequency-based networks (FourierNet) with CLIP and custom SpectrCLIP model. Achieved F1 Score of 0.9877 and AUC 0.9993 with the best performing model.
Developed a Siamese network architecture using VGG-16 and DenseNet for fingerprint matching across different platforms. Achieved 89.2% accuracy in determining fingerprint matches.
Developed a hybrid model combining Convolutional Neural Networks (CNN) for feature extraction and a Support Vector Machine (SVM) for classification of breast cancer histopathological images. This approach aims to improve diagnostic accuracy by leveraging the strengths of both deep learning and classical machine learning.
Implemented state-of-the-art 3D reconstruction using Gaussian Splatting technique for high-quality vase modeling. Created interactive 3D visualization demonstrating advanced computer vision and 3D modeling capabilities.
Built a comprehensive Python application for automatic news extraction and display from skynews.au. Features real-time data processing, content filtering, and user-friendly interface for news consumption.
Developed a robust data scraping solution for real estate websites. Implemented advanced parsing techniques, data validation, and export functionality for market analysis and research purposes.
Designed and developed a clean, academic-focused portfolio website featuring responsive design, interactive project showcases, and optimized performance for professional presentation.
Python, C++, C, JavaScript
PyTorch, TensorFlow, OpenCV, Scikit-learn
Pandas, NumPy, Matplotlib, Data Analysis
MySQL, NoSQL, Data Management