Nihal Gajbhiye's Projects
ChatHub leverages Socket Pogramming using socket.io, Redis for Pub/Sub and caching, HAProxy as reverse Proxy, React for frontend, and MongoDB for persistence data representing a sophisticated and scalable solution for real-time communication, offering support for diverse messaging paradigms and distributed deployment environments.
Talend Real-Time Data Platform 7.1 SQL Server Developer Edition Microsoft SQL server Management Studio Tableau Microsoft PowerBI
Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP, DNS, Elastic, Network, Virtualization. DevOps Interview Questions
Save the Environment! A full-stack application developed in AngularJS, NodeJS, MongoDB and ExpressJS.
CareSync leverages the Flutter, Dart, Google/Apple Pay Integration and Gemini AI SDK API to power its intelligent chatbot functionality and enhance user interactions within the app in the healthcare domain
Healthcare Management System is a database designed to get multiple entities associated with a healthcare center under a centralized database for efficient use of data
This project automates cloud infrastructure setup using Pulumi, orchestrating AWS and GCP services. It streamlines VPC, subnets, RDS, SNS, Lambda, EC2, and Load Balancer deployments. Leveraging infrastructure-as-code, it enhances reproducibility and collaboration in cloud environments.
LifeLine Application is a user friendly application that connects the heart patients having cardiovascular disease history, with the volunteers who can help them to do difficult daily life activities, montiors the heart patient data (vital signs) using sensor device to send the doctors, who can advise through application and suggest medication changes if required, and donors who can make donation to patients if cash crunch.
Telecommunication Users Data Analysis and Predictions
The Model recognizes the X-Ray Image and categorize/predict into a Normal Condition X-Ray Image or a Potential Pneumonia Condition X-Ray Image to reduce the spreading of infamous Pneumonia disease, especially in the times of COVID-19. All chest X-ray imaging during data gathering was performed as part of patientsโ routine clinical care. For the analysis of chest x-ray images, all chest radiographs were initially screened for quality control by removing all low quality or unreadable scans by Guangzhou Women and Childrenโs Medical Center, Guangzhou.