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iOS MVP Developer – Clinical AI Assistant (Simulated Vision + Audio)
I'm developing an MVP for Nuvra.ai, a real-time assistant designed for clinicians. The goal is to simulate a physician entering a room, recognizing a patient, receiving a whisper prompt, and initiating a follow-up action. This is a demo-only prototype intended for presentations to investors, partners, and early users. It should be clean, intuitive, and functional on iPhone devices. Key Responsibilities: Develop a simple iOS app using SwiftUI. Implement a tap-to-recognize patient feature (simulating camera trigger). Display a floating patient insight card with relevant information. Deliver audio prompts using AVSpeechSynthesizer. Include a "Send to front desk" button to confirm actions. Incorporate 1–2 hard-coded patient flows (e.g., Mr. Jenkins). Provide the app via TestFlight for demonstration purposes. Requirements: Proficiency in Swift and SwiftUI. Experience with AVFoundation, specifically AVSpeechSynthesizer. Ability to create clean and presentable UI without external design resources. Optional: Familiarity with ARKit or SceneKit for simulating overlays. Deliverables: Functional SwiftUI app installable on iPhone (TestFlight or .ipa). Clean UI that aligns with medical and modern aesthetics. All source files and a brief walkthrough video. Completion within 10–14 days. Budget: $500 fixed-price, with a performance bonus available for seamless delivery, smooth iPhone installation, strong usability, and a bug-free experience following full regression and sanity testing.