Multilingual Chatbot for Commonwealth Bank

This chatbot integrates Azure Function Apps for serverless computing, Azure Cognitive Services for language detection and translation, and OpenAI's API for AI-driven response generation. This approach aims to provide seamless engagement for customers of CommBank across various linguistic backgrounds.

The initiative assists customers by:

• Auto-detecting the language used by the user.
• Processing banking inquiries in multiple languages.
• Utilising user-friendly interfaces that consider cultural nuances to bridge the communication gap.

Tech Stack

• Azure Function Apps: Serverless computing for chatbot logic.
• Azure Cognitive Services & Translator Text API: For multilingual support.
• OpenAI API: Advanced AI for context-aware responses.
• Cosmos DB: NoSQL database for storing scraped data.
• Azure AI Search & RAG: Enhancing data retrieval and response generation.
• Azure Key Vault: Securing secrets.
• Selenium: Web scraping.
• React: Frontend interface.
• GitHub Actions: CI/CD for deployment.
• Visual Studio Code: IDE with Azure and Python extensions.
• Python 3.11: Programming language.

Setup and Installation

Prerequisites

• An Azure account with access to Azure Function Apps and Azure Cognitive Services.
• An OpenAI API key for integrating chatbot intelligence.
• Python 3.11 installed on your machine.
• Visual Studio Code with Azure Function App and Python extensions installed.
• Git for version control.

Basic Infrastructure Setup

1. Azure Function App Setup

   • Create a new Function App resource in Azure.
   • Follow the Azure documentation for initial setup: Azure Function Apps Documentation.

2. Azure Cognitive Services Integration

   • Set up an instance of Azure Cognitive Services for language detection and translation capabilities.
   • Securely store the API key and endpoint URL for later use in the application.

3. OpenAI API Integration

   • Sign up for an OpenAI API key.
   • Securely store the API key for use in the chatbot's response generation logic.

Running the Project

1. Clone the project repository to your local machine.

   git clone https://github.com/ITU-0327/CBA_Multilingual_Chatbot

2. Install the required Python dependencies.

   pip install -r requirements.txt

3. Set up environment variables for Azure and OpenAI API keys.

   • Create a .env file in the root directory of your project.
   • Add your Azure Cognitive Services and OpenAI API keys as follows:

     AZURE_TRANSLATOR_TEXT_KEY=<your-translator-text-api-key>
     AZURE_SERVICE_REGION=<your-service-region>
     OPENAI_API_KEY=<your-openai-api-key>
     

4. Start the Azure Function App locally for testing.

   • Follow the Azure Functions extension in Visual Studio Code to run your app.

License

Distributed under the MIT License. See LICENSE for more information.