video1.0<iframe src="https://www.loom.com/embed/0c7be975570a4f2ca040566b3e70024d" frameborder="0" width="1920" height="1440" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>14401920Loomhttps://www.loom.com14401920https://cdn.loom.com/sessions/thumbnails/0c7be975570a4f2ca040566b3e70024d-012e5db4ee7d75d6.gif670.987In this video, I walk you through the ODO-API integration for bank statement processing, utilizing Google Cloud Storage and BigQuery for scalable data storage and analytics. I demonstrate the intelligent parsing and reconciliation process using AI-powered LLMs, showcasing how I created schemas for bank statements and invoices. I also highlight the successful fetching of invoices and the reconciliation process, which achieved a confidence score of up to 100%. I encourage you to review the provided code link and the readme file for a detailed understanding of the project. Please let me know if you have any questions or need further clarification on any part of the process.