{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/fd7af0c5083e478ebb8da5c8e2b03f05\" frameborder=\"0\" width=\"1920\" height=\"1440\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1440,"width":1920,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1440,"thumbnail_width":1920,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/fd7af0c5083e478ebb8da5c8e2b03f05-a4c7480d4b20821d.gif","duration":300.725,"title":"Streamlining Data Analysis and Reporting with AI Solutions","description":"In this video, I discuss my work on the AFR, LDR, Project Pipeline, focusing on the challenges of manual inspections and report generation. I've developed a web application that automates data analysis, generating detailed reports with color-coded diagnostics in a 50-page format. I also highlight the need for improvements, such as implementing OCR for linking images to text and creating a dynamic dashboard for better updates. My current process takes about two to three minutes to generate a report, and I aim to enhance efficiency further. I welcome any feedback or suggestions on these initiatives."}