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TalkSphere - The Chat App

Real-time full-stack chat app with messaging, groups, media sharing, and friend requests — built for speed and scalability.

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Tech Stack

Frontend:

React
Redux Toolkit
RTK Query
Tailwind CSS
ShadCN UI

Backend:

Node.js
Express.js
Socket.io
Multer

Database:

MongoDB

ORM:

Prisma

Tools:

Git
GitHub
Postman
Docker
Render
Cloudinary

Deployment:

Vercel (Frontend)
Render (Backend)
TalkSphere - The Chat App
Tech Stack

Frontend:

React
Redux Toolkit
RTK Query
Tailwind CSS
ShadCN UI

Backend:

Node.js
Express.js
Socket.io
Multer

Database:

MongoDB

ORM:

Prisma

Tools:

Git
GitHub
Postman
Docker
Render
Cloudinary

Deployment:

Vercel (Frontend)
Render (Backend)

What the project is?

TalkSphere is a full-stack, production-grade chat application that enables real-time conversations with file sharing, group management, and friend request systems. It leverages WebSockets for instant updates, role-based access for group control, and efficient backend design for performance and scalability.

Why I built this?

I developed TalkSphere to master real-time application architecture, WebSocket communication, and system design for chat-based platforms. It allowed me to explore efficient data flow, event-driven updates, and how production apps handle concurrency and scalability at scale.

What problem it solves?

TalkSphere simplifies modern communication by offering real-time one-on-one and group chat functionalities, complete with media sharing, role management, and instant notifications. It eliminates delays and synchronization issues common in traditional chat systems, providing a fast, interactive user experience.

Key Features

  • User authentication with JWT and secure sessions
  • Real-time messaging using Socket.io
  • Group creation, editing, and deletion with admin privileges
  • Add or remove group members dynamically
  • Send and receive images, videos, documents, and audio files
  • Friend request system with accept/reject workflow
  • Real-time dashboard with active users and message stats
  • Cloud storage integration via Cloudinary
  • Optimized backend using Prisma ORM and MongoDB
  • Responsive UI with Tailwind CSS and ShadCN components
  • Fully deployed on Render (backend) and Vercel (frontend)
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    What I Learned / Challenges

    Built expertise in implementing bi-directional communication with Socket.io, managing large-scale state with Redux Toolkit, and optimizing MongoDB queries for real-time performance. Learned to design scalable backend architecture and handle complex group features like member addition/removal and admin control without breaking synchronization.