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real-time-processing

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Integrates NVIDIA GPUs for HPC and edge computing. Leveraging CUDA, Jetson, and Triton Inference Server, it offers real-time data processing with Kafka and Spark. Scalable microservices with Spring Boot, Docker, Kubernetes, robust security, and CI/CD with Jenkins make it ideal for advanced computational tasks. @NVIDIA

  • Updated Jul 19, 2024
  • C++

This project illustrates real-time data processing and analytics. This project uses Amazon Kinesis for capturing and streaming real-time data, AWS Lambda for processing data in real-time, Amazon Elasticsearch Service for indexing and searching data, Amazon SNS for real-time notifications, and Amazon QuickSight for real-time data visualisation.

  • Updated Jul 9, 2024
  • HCL

This project aims to improve the accuracy of blood pressure measurements using video-based heart rate monitoring and a calculation algorithm. The system utilizes facial tracking to detect and analyze heart rate data, which is then used to estimate blood pressure.

  • Updated Jun 6, 2024
  • Python

Zen is a state-of-the-art communication platform built on the PERN stack and WebRTC technology with WebSocket for real-time communication. Offering seamless video calling and upcoming live streaming features, Zen ensures secure, reliable, and user-friendly experiences.

  • Updated Mar 15, 2024
  • TypeScript

This repository comprises the design, implementation, and analysis of a near real-time data warehouse prototype for an electronics business chain, utilising a multi-threaded Extract, Transform, Load (ETL) pipeline leveraging the efficient HYBRIDJOIN algorithm implemented with Java and MySQL on customer sales data.

  • Updated Mar 1, 2024
  • Java

Python-based Vehicle Motion Tracking System using YOLOv4 Real-time tracking and recognition of vehicles on roads, powered by pre-trained object detection models. Capture vehicle paths, extract crucial data including numbering and date of crossing, and enhance road safety with improved traffic flow.

  • Updated Jan 4, 2024

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