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🚀 SigmaGPT

SigmaGPT is a full-stack AI-powered chat application inspired by modern conversational interfaces.
The project focuses on real-world deployment, frontend–backend integration, and cloud infrastructure using AWS.


✨ Features

  • 💬 AI-powered chat interface
  • 🧵 Thread-based conversations
  • 📜 Persistent chat history
  • ⚡ Fast and responsive UI
  • 🌐 Deployed on AWS EC2 with Nginx
  • 🔗 Frontend–backend integration over REST APIs

🛠️ Tech Stack

Frontend

  • React (Vite)
  • JavaScript
  • HTML & CSS

Backend

  • Node.js
  • Express.js
  • REST APIs

Screensort

image image

Deployment & DevOps

  • AWS EC2
  • Nginx
  • Linux (Ubuntu)
  • GitHub Actions (CI/CD)

🌐 Live Demo

🚀 SigmaGPT is live and deployed on AWS EC2

http://ec2-16-171-237-242.eu-north-1.compute.amazonaws.com/


🧠 What I Learned

  • Deploying frontend apps with Nginx
  • Connecting frontend to backend on a remote server
  • Debugging real production issues (CORS, ports, configs)
  • Managing AWS EC2 instances
  • Writing deployment-friendly code
  • End-to-end ownership of a full-stack project

📂 Project Structure

SigmaGPT/ │ ├── Frontend/ # React frontend ├── Backend/ # Node.js backend └── README.md

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🚀 Getting Started (Local Setup)

Clone the repository

git clone https://github.com/Utkarsh-Raj-Profile/SigmaGPT.git

cd SigmaGPT

Frontend Setup

bash
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cd Frontend
npm install
npm run dev


Backend Setup

bash
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cd Backend
npm install
npm start

🙏 Acknowledgements

Special thanks to Apna College for guidance and excellent teaching,
which helped me understand deployment concepts and push through real-world challenges.

👤 Author

Utkarsh Raj

About

Developed a scalable AI-powered chatbot using MERN stack with GPT integration, enabling real-time communication and cloud deployment on AWS.

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