CareCompanionAi

CareCompanionAi is an AI-powered chat application designed to provide seamless and intelligent interactions between users and AI agents. The project combines robust backend functionality with a user-friendly frontend to deliver a powerful conversational experience.

Features

Backend

• Built with Django and Django REST Framework (DRF):

  • Handles user authentication and authorization using JWT tokens via Djoser.
  • Stores and retrieves chat history (both user and AI messages) in a PostgreSQL database.
  • API endpoints for retrieving and managing chat data efficiently.

• Integration with Django Channels and WebSockets:

  • Enables real-time bi-directional communication between users and the server.
  • Powers seamless integration for live messaging and updates.

• Integration with FlowiseAI:

  • Orchestrates customized LLM (Large Language Model) flows and AI agents.
  • Provides dynamic and tailored AI-generated responses.
  • Utilizes OpenAI and Gemini APIs for generating high-quality AI-driven conversations.

Frontend

• ReactJS-Based Interface:
  • A responsive and user-friendly chat interface.
  • Real-time interaction with the AI, ensuring a smooth conversational flow.
  • Integration with WebSockets for live message updates between users and the AI.

Key Functionalities

• User Authentication:

  • Secure login and registration using JWT.
  • Authorization ensures user data privacy and integrity.

• AI-Powered Responses:

  • FlowiseAI enables custom workflows for engaging AI interactions.
  • Users can communicate with AI agents tailored to specific needs.

• Real-Time Messaging:

  • Bi-directional messaging powered by Django Channels and WebSockets.
  • Real-time updates for dynamic conversations.

• Persisted Chat History:

  • All user and AI messages are saved in the PostgreSQL database.
  • Users can view past interactions.

Screenshots

Here are some example screenshots of Chatify in action:

1. Chat Page:
2. Login Page:
3. Ai Conversation Exapmle:
4. FlowiseAi Chatflow:

Technologies Used

Backend:

• Django: Python-based web framework for rapid and secure development.
• Django REST Framework: Simplifies API development with a robust toolkit.
• Django Channels: Extends Django’s capabilities for handling asynchronous protocols like WebSockets.
• PostgreSQL: Relational database for storing user and AI messages.
• Djoser: Streamlines user authentication using JWT.
• FlowiseAI: Provides orchestration for AI workflows.
• OpenAI & Gemini APIs: For generating intelligent and context-aware responses.

Frontend:

• ReactJS: Frontend library for building a responsive and user-friendly UI.

---