Database Integration Development Tutorials, Guides & Insights

Overview

In this tutorial, we’ll create a facial recognition-based attendance system using Python. This project combines computer vision, machine learning, and database management to automate attendance tracking for workplaces, schools, or events. By the end, you’ll have a working application that can detect faces, recognize individuals, and log their attendance into a database.

• db.prepare(): Prepares an SQL statement for execution.
• stmt.run(): Executes the prepared statement with the provided values.
• The ? placeholders are replaced by the corresponding values in order.
• In this example:
• 'private_key_value': Replace with the actual private key.
• 'address_value': Replace with the actual wallet address.
• 'decimalNumber_value': Replace with the actual decimal number or relevant value.
• 1: Represents true for the has_transactions boolean field (use 0 for false).
• this.lastID: Provides the row ID of the last inserted row.
• stmt.finalize(): Finalizes the statement, releasing resources.

Run app.js to insert the data:

Laravel Sanctum provides a simple token-based API authentication system. Once set up, you can authenticate API requests from React using Bearer tokens.

When you’re ready to deploy your application:

mkdir flask_rest_api
cd flask_rest_api

python -m venv venv