Personal Assistant Web App

AI-powered web application with intelligent responses using GPT-3 integration

Flask Python PostgreSQL GPT-3 REST APIs
View Code

Project Overview

An innovative AI-powered personal assistant web application that leverages OpenAI's GPT-3 technology to provide intelligent, contextual responses. Built with Flask and PostgreSQL, the application features real-time chat capabilities, user authentication, and a modern, responsive interface.

Key Highlights

  • OpenAI GPT-3 integration for intelligent responses
  • Real-time chat interface with message history
  • Secure user authentication and session management
  • PostgreSQL database for data persistence
  • RESTful API architecture for scalability
Project Info
  • Date: September 2024
  • Category: AI Web Application
  • Status: Completed
  • Team Size: Solo Project
  • Duration: 6 weeks

Key Features

GPT-3 AI Integration

Advanced natural language processing using OpenAI's GPT-3 API for intelligent, context-aware responses and conversations.

Real-time Chat

Interactive chat interface with real-time messaging, typing indicators, and seamless conversation flow.

User Authentication

Secure login system with password hashing, session management, and user profile customization.

Data Persistence

PostgreSQL database integration for storing user data, conversation history, and application settings.

Conversation History

Complete chat history tracking with search functionality and conversation management features.

REST API

Well-structured RESTful API design enabling scalability and potential mobile app integration.

Technical Implementation

Backend Technologies

  • Flask: Python web framework
  • PostgreSQL: Relational database management
  • SQLAlchemy: ORM for database operations
  • OpenAI API: GPT-3 integration
  • JWT: Token-based authentication

Frontend Technologies

  • HTML5/CSS3: Modern web standards
  • JavaScript ES6+: Interactive functionality
  • WebSocket: Real-time communication
  • Bootstrap: Responsive design framework

Architecture & Design

The application follows a modern web architecture with clear separation between frontend, backend, and AI services:

System Architecture

  • MVC Pattern: Model-View-Controller architecture
  • API-First Design: RESTful endpoints for all operations
  • Microservices Ready: Modular design for scalability
  • Security First: Input validation and secure practices

AI Integration Strategy

  • Context Management: Conversation context preservation
  • Response Optimization: AI response caching and optimization
  • Error Handling: Graceful AI service failure handling
  • Rate Limiting: API usage optimization and cost control
Previous: PETOPIA
Next: Portfolio Website