AurexGPT – AI-Powered Conversational Assistant

Overview

AurexGPT is a full-stack AI chatbot that delivers intelligent, real-time conversations through a modern and responsive web interface. Inspired by leading conversational AI platforms, the application enables users to interact with an AI assistant for answering questions, generating content, explaining concepts, writing code, and solving programming problems. The project demonstrates how modern AI can be integrated into a scalable web application using a full-stack JavaScript ecosystem.

Key Features

Real-time AI-powered conversations using the Google Gemini API.
Create and manage multiple chat threads.
Persistent conversation history stored in MongoDB.
Continue previous conversations without losing context.
Markdown rendering with syntax highlighting for code responses.
Clean, responsive, and intuitive user interface optimized for desktop and mobile devices.
RESTful API architecture for efficient frontend-backend communication.

Technology Stack

Frontend: React.js, CSS
Backend: Node.js, Express.js
Database: MongoDB
AI Integration: Google Gemini API

Learning Outcomes

This project strengthened my understanding of full-stack web development, REST API design, asynchronous programming, state management in React, database integration, AI API consumption, responsive UI development, and handling dynamic data across client and server applications.

Future Enhancements

AurexGPT is actively being improved with several planned features to make it production-ready. Future updates include implementing authentication and authorization using secure user login and registration, enabling each user to have a personalized account with protected chat history. Additional enhancements include role-based access control, cloud deployment, conversation search, chat export, dark/light theme support, AI model selection, improved response streaming, performance optimization, and stronger security practices. These improvements will enhance user experience, scalability, and overall application reliability.