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I will do ai medical, clinical human scribe web app, ai 3d offline mvp metahuman avatar


Johndee
About this gig
I will develop AI medical human scribe Avatar | AI clinical web App | AI DeepScribe Software
Are you a clinician, healthcare startup, or telemedicine provider seeking a faster way to handle patient documentation?
I develop AI-powered Medical Scribe Avatars and Translator Apps that listen, record, and summarize patient-doctor conversations into SOAP notes all while handling multilingual translation and secure cloud storage.
Services offered:
- AI Scribe Agent
- Conversational AI
- Multilingual Chatbot
- Virtual Assistant AI
- Digital Avatar Creation
- AI Voice Agent
- Customer Support AI
- RTX Lip Sync
- AI Chatbot
- Healthcare Bot
- EdTech Avatar
- AI Scribe Agent
- AI Avatar
- Metaverse Avatar
- Virtual Human
- 3D Character Animation
- Real-time AI voice-to-text scribe
- AI SOAP note generation
- Medical triage AI system
- EHR / EMR software integration
INDUSTRIES:
- Hospitals & Clinics
- Health Tech Startups
- Pharmaceutical Companies
- Insurance & Health Plans
- Medical Research Labs
- Mental Health
- Biomedicals
- Paramedical
- Pharmacy
Tools:
GPT-5, Metahuman Creator, DeepMotion AI, Unreal Engine 5/5.6, iClone 3D, RTX Lip Sync, Whisper AI, Stable Diffusion, automation APIs, LLM, NLP and more....
Best Regards,
DM for discussion
Get to know Johndee
Johndee
AI Legends
- FromUnited Kingdom
- Member sinceNov 2025
- Avg. response time4 hours
Languages
English
I’m a full stack developer and AI Eng who builds fast, clean, and scalable web applications with real-time user experiences. On the front end, I specialize in React with a modern framework, and on the back end, I work with Node and Express. My database experience spans SQL and NoSQL systems, paired with caching and real-time communication using sockets and peer-to-peer technologies. I deploy on major cloud platforms with services for compute, storage, and content delivery. My expertise also includes secure authentication, robust API design, and end-to-end CI/CD pipelines with containerization.
