HandGuard-CV: Driver Safety Detection
Real-time deep learning computer vision system utilizing PyTorch and OpenCV to detect driver hand position and distraction states in video streams.
Engineering Repository
Production machine learning models, computer vision detection systems, automated DevOps cloud pipelines, and web backend applications built by Priyanshu Raj.
Real-time deep learning computer vision system utilizing PyTorch and OpenCV to detect driver hand position and distraction states in video streams.
Automated vehicle flow classification and multi-object detection pipeline for intelligent traffic monitoring.
High-throughput log processing pipeline deployed on AWS infrastructure with automated Jenkins CI/CD integration.
Convolutional Neural Network model for medical image classification and binary diagnosis from chest radiography.
Backend API and dynamic management interface for automated urban parking slot reservation and spot availability tracking.
Statistical predictive modeling and student career placement outcome classifier analyzing academic metrics.
Histogram of Oriented Gradients (HOG) feature extraction model for low-latency hand gesture classification.
Automated container orchestration and Jenkins deployment setup for multi-service web backend applications.