My projects and work across different technologies and domains.
Full-stack AI assistant for Alzheimer's support — facial recognition, object detection, and NLP for real-time identification and guidance. HackHive 2025 winning project.
Go-based observability system for AI workloads — model drift, latency, and system health with 92% drift-detection accuracy, 30% faster deployments, and 70% faster incident response.
AI-powered study tool that converts lecture videos into organized, searchable notes using multithreaded transcription, with flashcard generation and AI chat support.
HackHive 2024 winning project — containerized computer vision app on Azure that analyzes photos to identify recyclable objects using OpenCV and Azure Computer Vision.
Scalable ML-powered cloud monitoring solution detecting anomalies in real-time resource usage with Isolation Forest, AWS SageMaker, Lambda, and automated SNS alerts.
Design & Developed by Hamza Ajmal
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