Full Stack Developer | MongoDB | PostgreSQL | React | NodeJs | NestJs | NextJs | Vite | Git & GitHub

Vaibhav Soni  • Peerlist

Built a hassle-free file management app for easy uploads, organizaon, and access

Files App

This project demonstrates a real-time body segmentation web application built using TensorFlow.js and React.js. It utilizes the pre-trained BodyPix model to identify and segment body parts from live webcam video, displaying the results in a dynamic web interface. Introduction This application showcases the power of client-side machine learning for real-time computer vision tasks. By leveraging TensorFlow.js and the BodyPix model, we can perform body segmentation directly in the browser without relying on server-side processing. This project is a great starting point for anyone interested in exploring real-time computer vision applications in web development.

Real-Time Body Segmentation Web App

A full-stack project management app with features like organization/project management, issue tracking, and user authentication. It uses Next.js, Shadcn UI, and Clerk for a modern, functional interface.