Projects
Experimental systems, learning projects, and technical implementations combining computer vision research with full-stack development.
Face Recognition Pipeline | Multi-Face Recognition and Detector + Gradio UI
A modular face detection & recognition system designed and developed from scratch, focused on flexibility, scalability, and real-time performance. Multi-Detector Support — switch between OpenCV Haar Cascade, MTCNN, Dlib HOG/CNN, and face_recognition seamlessly.
Technologies
Project Categories
Computer Vision
Face detection and recognition prototypes, object detection in the browser, and the write-ups behind them.
Machine Learning
Classical techniques such as PCA and similarity matching, worked through with maths and code.
Full-Stack Development
The web platform and CMS that publish these projects and host the in-browser demos.
ML Security (Study Notes)
Learning how adversarial examples affect machine learning models, through reading and small experiments.
Tools & Frameworks
The tools and frameworks used across these projects and in day-to-day development work
Research & ML
Computer vision and machine learning libraries used in the prototypes
Frontend Development
Modern web technologies for responsive interfaces
Backend & Data
APIs, services and databases
Tools & Deployment
Version control, CI and hosting