I have a complete service manual in PDF form for one of our production machines and I need a mobile app that can turn that document into an interactive assistant. The core idea is simple: the user selects a symptom from a dropdown list, the app searches the converted knowledge base built from the PDF, and then returns step-by-step troubleshooting suggestions. Because technicians in the field may not always know the exact name of a component, the same screen should also let them type a plain-language part description; the corresponding part number pulled from the manual must then auto-populate so they can order it instantly. Key points you will be handling: • Build once, run on both iOS and Android. • A clean, graphical interface with images pulled or referenced from the manual where relevant. • Symptom entry strictly through dropdown menus to keep it quick and mistake-free. • Back-end logic that parses the PDF (text + embedded diagrams) and stores it in a searchable format—feel free to use PDF parsing libraries, NLP, or a lightweight vector database if that speeds up lookups. • Local-first data storage is preferred so technicians can keep working offline, with cloud sync when connectivity returns. Deliverables I expect: 1. Fully compiled apps (APK + IPA or TestFlight build) ready for internal deployment 2. Source code with clear instructions for rebuilding 3. Admin script or tool that lets me swap in an updated PDF and regenerate the knowledge base without rewriting code 4. Brief user guide for technicians I’m happy to discuss your proposed tech stack—Flutter, React Native, or another cross-platform toolset—as long as it meets the above requirements and is maintainable by our in-house team later on. Let me know the approach you’d take and any similar projects you’ve completed.