Built a scalable CI/CD pipeline using Kubernetes, Jenkins, Terraform, Ansible, and AWS. Automated deployments and infrastructure provisioning, reducing deployment time by 50% and ensuring high availability. Streamlined testing and delivery for faster feature rollouts and operational efficiency.
Created a real-time hand gesture recognition system integrated with an AI model to solve math problems, showcased through an interactive Streamlit app. Using OpenCV and cvzone for hand tracking, the app captures webcam video, processes gestures, and sends the data to a Google Generative AI model for problem-solving, with results displayed live in the interface.
Imagine a blank canvas equipped with advanced hand tracking and motion detection technology, designed to enable innovative drawing and creation. This cutting-edge system integrates a variety of libraries, modules, and hardware components, harnessing their capabilities to facilitate fluid, intuitive interaction and creative expression.
Executed Python projects with meticulous data cleaning and diverse matplotlib visualizations. Conducted thorough data cleaning and Exploratory Data Analysis (EDA) to uncover patterns and trends. Applied advanced statistical modeling and machine learning techniques for deeper insights, emphasizing impactful data visualization for effective communication.
Picture a mouse equipped with motion detection technology that tracks hand movements in real time. This innovative setup includes a user-friendly dashboard for controlling various projects seamlessly. It harnesses advanced libraries, modules, and hardware components to ensure precise interaction and efficient management of creative endeavors.