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Real-time messaging app built using Flutter. Features include user authentication, contact management, group chats, broadcasts, and a chat list sorted by timestamp. Integrates with a Dart server for backend operations.
💬 An ephemeral, real-time chat application preserving privacy by storing messages only in the user's browser 🌐. Perfect for instant conversations that leave no trace once the browser is closed.
This is a full-featured chat and video call application built using the MERN stack (MongoDB, Express.js, React, Node.js). The application supports one-to-one and group chats, and users can share images, text messages, and files. Also Supports one-to-one video chat.
AI-powered real-time customer support assistant, built with React on the frontend and Node.js/Express on the backend, utilizing the OpenAI API to provide smart and automated responses.
"A real-time chat application built with a React frontend, Node.js/Express backend, and MongoDB, featuring real-time communication, state management, and modern UI components."
A Full stack chat app using React JS and Firebase. In this chat app you can create an account and chat with your friends. In the chat you can also send the images.
A real-time chat web application with login and register functionalities, ensuring secure communication between users. Complemented by user-friendly features such as active status indicators and notification sounds.
A social network with secure authentication, content sharing, community management, real-time messaging, and privacy controls. Built with Node.js and MongoDB.
This is an Unreal Engine game built using the Stack'O'Bot game, a third person sandbox project built by Epic Games to showcase UE 5 features. PubNub has enhanced this functionality by integrating real-time features utilizing PubNub's Unreal SDK.
A demonstration of the OpenAI Chat Completion API, featuring a Python Flask server and a Python client for interactive AI-powered conversations. This example showcases the GPT-4o model's ability to understand and generate human-like text in a conversational context.