<?xml version="1.0" encoding="UTF-8"?><oembed><type>video</type><version>1.0</version><html>&lt;iframe src=&quot;https://www.loom.com/embed/418ce10929ad411f8a0b04a43392feb6&quot; frameborder=&quot;0&quot; width=&quot;1920&quot; height=&quot;1440&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1440</height><width>1920</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1440</thumbnail_height><thumbnail_width>1920</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/418ce10929ad411f8a0b04a43392feb6-bdca6af100b47712.gif</thumbnail_url><duration>588.1645</duration><title>Demonstration of a Production-Ready Credit Approval System Using Django and Docker</title><description>In this video, I demonstrate my credit approval system, a fully production-ready back-end API built with Django&apos;s REST framework. The system evaluates loan eligibility using a sophisticated five-component credit scoring algorithm and is integrated with Docker for enterprise development. I showcase the ingestion of data from an Excel file into a PostgreSQL database, where I have 103 customers and 152 loans registered. I also walk through the API functionality, including creating customers and loans, checking eligibility, and the calculations for monthly installments. I invite you to review the code on my GitHub and provide any feedback or questions regarding the implementation.</description></oembed>