We are developing a web-based and mobile biomedical service assistant designed to help biomedical engineers, technicians, and service professionals troubleshoot medical equipment issues efficiently. The application will combine: A guided UI (equipment selection, issue type, image upload) AI-powered troubleshooting A private knowledge repository (service manuals, PDFs, internal documents) Support for multiple AI providers and API keys The goal is to reduce troubleshooting time, standardize service workflows, and make expert-level guidance available instantly. Attached(RFP Doc) Executive RFP Summary Biomedical Service AI Assistant (Web & Mobile) Project Overview We are seeking a qualified software development partner to build a Biomedical Service AI Assistant, a web-based and mobile application designed to help biomedical engineers and service technicians troubleshoot medical equipment efficiently. The platform will combine guided user input, AI-powered diagnostics, image analysis, and a private repository of service manuals, delivering fast, OEM-aware troubleshooting support in both online and offline environments. Key Objectives Reduce medical equipment downtime Standardize biomedical service workflows Provide instant, AI-assisted troubleshooting Prioritize internal service manuals over public AI knowledge Support multilingual output for global service teams Core Features Guided Equipment Selection Users select: Equipment type (Ultrasound, CT, MRI, etc.) Manufacturer and model (e.g., GE LOGIQ E9) Software / firmware version The system auto-generates a structured troubleshooting prompt and prevents redundant questions. AI-Powered Diagnostics (Multi-Provider) Supports local AI (offline, no cost) and cloud AI providers Modular architecture with multiple API keys per provider Automatic fallback when quotas are exceeded No hard-coded keys; all managed via an admin interface Private Knowledge Repository Upload and manage OEM service manuals (PDF format) AI searches internal documentation first (RAG approach) Reduces hallucinations and improves technical accuracy Image-Based Troubleshooting Upload photos of error screens, artifacts, probes, connectors AI analyzes images together with equipment context Always processes the most recent upload Multilingual Translation (Output Level) Translate AI responses from English into: Spanish, Portuguese, French, Italian, German Toggle translation per response Preserves technical terminology and safety warnings Platforms Web application (desktop and tablet) Mobile application (iOS & Android or cross-platform) Shared backend and AI logic across platforms Administration & Configuration Manage AI providers and API keys Enable/disable local or cloud AI engines Upload and organize service manuals Configure supported translation languages Target Users Biomedical engineers Imaging service technicians Independent service providers Hospitals and imaging centers Deliverables Production-ready web application Mobile application Secure backend API Admin configuration panel Scalable AI and document-search architecture Ideal Development Partner Experience with web and mobile applications Proven AI / LLM integration expertise Familiarity with document search or RAG systems Healthcare or technical service experience preferred One-Line Summary A smart biomedical service assistant that combines AI, service manuals, and guided workflows to deliver fast, multilingual, OEM-aware troubleshooting on web and mobile platforms.