Notemind is a multimodal note-taking application that leverages Azure services for enhanced functionality. It integrates audio transcription, document intelligence, image processing, and advanced search capabilities, making it a great tool for managing and enhancing your notes.

• Audio Transcription: Convert audio files to text using Azure OpenAI's Whisper model.
• Document Intelligence: Extract markdown content from documents using Azure Document Intelligence.
• Image OCR and Description: Unlock the value of images by extracting text and generating detailed descriptions using Azure Vision services.
• Note Management: Create, update, and delete notes using markdown syntax including text, files, and metadata.
• Audio Recording: Record and save notes directly within the application for quick and efficient documentation.
• Search: Utilize Azure AI Search or CosmosDB with vector embeddings for powerful, context-aware searches. Leverage hybrid search to discover entities, tags, and related content effortlessly.
• Media Storage: Store and manage media files using Azure Blob Storage.
• AI-Powered Metadata Generation: Automatically generate insightful metadata like titles and tags for your notes using LLMs, ensuring your content is always categorized and easy to retrieve.
• Interactive Chatbot: Engage with an AI chatbot powered by Azure, with access to your note data. Ask questions, retrieve specific information, or gain insights from your notes in a conversational and user-friendly manner.

• Node.js
• Python 3.10+
• Docker (optional, for containerized deployment)
• Azure account with necessary services provisioned

1. Navigate to the backend directory:

cd backend

2. Install dependencies

pip install -r requirements.txt

3. Set up environment variables. Create a .env file in the backend directory and add the necessary configuration values.

4. Run the backend server

uvicorn main:app --reload

1. Navigate to the frontend directory:

cd frontend

2. Install dependencies

npm install

3. Set up environment variables. Create a .env file in the frontend directory and add the necessary configuration values.

4. Run the frontend development server

npm start

To deploy the necessary Azure resources using the provided Bicep file, follow these steps:

1. Install the Azure CLI and Bicep CLI:

   • Azure CLI
   • Bicep CLI

2. Log in to your Azure account:

az login

3. Navigate to the infrastructure directory:

cd infrastructure

4. Deploy the Bicep file:

az deployment group create --resource-group <your-resource-group> --template-file main.bicep

Create a .env file in both the backend and frontend directories and add the necessary configuration values. Below are the required environment variables:

Copy .env.sample and configure

• VITE_API_URL: The URL of your backend API