I have tens of thousands of images already inside Digikam. Right now they sit in folders arranged only by date, and a few albums have assorted tags that were added over the years. It is a start, but far from the flexible, searchable archive I need. The work centres on three areas: • Organising the entire library so it follows a logical hierarchy that still respects the existing date-based structure. • Designing and applying a consistent tagging vocabulary—people, places, themes, ratings and colour labels—then batch-applying those tags with Digikam’s advanced filters, face recognition and metadata tools. • Optimising storage by detecting duplicates, consolidating sidecar files, and configuring Digikam’s database (SQLite or MySQL, whichever you prefer) for faster performance and reliable backups. Acceptance criteria: every image should appear under at least one meaningful tag, duplicate or near-duplicate files must be flagged or removed, and the database should open and search instantly on my machine. You are free to suggest plug-ins, external scripts or workflow tweaks as long as they stay within Digikam’s ecosystem and standard EXIF/IPTC metadata. When the job is finished I expect a short walkthrough—screen-share or step-by-step document—so I can maintain the system myself. If this sounds like your everyday playground inside Digikam, let’s schedule a quick chat and get the library in shape.