Enhancing a trader's dashboard within the Equities team, enabling them to input data for monitoring a new trading strategy. The project entails interfacing with financial data feeds, performing necessary calculations,and utilizing JPMorgan's Perspective software to visualize and analyze real-time data, aligning with user requirements.
This project utilizes Mediapipe and OpenCV to create a real-time body language recognition system, using a trained machine learning model to classify gestures from webcam data and display results on the live feed. It identifies and traces facial, hand, and body pose landmarks in webcam streams, subsequently utilizing trained machine learning models to classify and exhibit recognized body language gestures in real-time, offering immediate insights into individuals'nonverbal communication signals.
Built a portfolio website by leveraging Next.js for dynamic page rendering, Tailwind CSS for efficient styling, and Framer Motion for fluid animations. The integration of responsive layouts, optimized image handling, and seamless transitions
Developed an application that enables users to curate and share their personalized recipes while exploring a diverse array of culinary creations from others. Serving as a food based socialplatform, the application was built using MongoDB, Express.js, React, and Node.js to facilitate seamless recipe storage, sharing, and discovery.