AI Health Diagnosis Avatar for Kiosk/ Box/ Api

@ramantoor5

Hello, I will develop a conversational engine that can process free-text or voice inputs, ask relevant follow-up questions, and match responses against a clinically vetted symptom database to provide likely diagnoses for common illnesses such as colds, flu, allergies, minor infections, and stomach upsets. Additionally, I will create a 2D or 3D avatar front-end that will lip-sync and deliver advice naturally, ensuring smooth performance on both desktop and mobile browsers. The user will receive a concise, easy-to-understand summary of the possible condition, recommended next steps, and red-flag signs that warrant professional medical attention. Finally, I will provide clear documentation along with an API or embeddable widget for seamless integration into your existing React site.

@sajjadtaghvaeifr

Hello, I trust you're doing well. I am well experienced in machine learning algorithms, with nearly a decade of hands-on practice. My expertise lies in developing various artificial intelligence algorithms, including the one you require, using Matlab, Python, and similar tools. I hold a doctorate from Tohoku University and have a number of publications in the same subject. My portfolio, which showcases my past work, is available for your review. Your project piqued my interest, and I would be delighted to be part of it. Let's connect to discuss in detail. Warm regards. please check my portfolio link: https://www.freelancer.com/u/sajjadtaghvaeifr

@quan9824

Hi, this is a compelling and impactful project—I’ve worked on AI-driven conversational systems and can design a safe, scalable symptom-checker with avatar interaction. My approach combines a hybrid clinical reasoning engine: LLM + structured symptom database (SNOMED/ICD mappings) to ensure explainable, bounded outputs limited to common conditions. I’ll implement guardrails for safety (red-flag detection, escalation to doctor, strict scope control) and confidence scoring. Architecture: • Backend: Python (FastAPI) with real-time voice + text processing • AI layer: LLM + rule-based clinical filters for accuracy & bias control • Avatar: WebGL/Unity or lightweight web avatar with lip-sync (low-latency <1s) • Dashboard: doctor review panel to validate/edit outputs (human-in-the-loop learning) • Device integration: APIs for BP, SpO2, temperature ingestion Key features: • Multilingual (Hindi/English) conversational flow • Explainable outputs (8th-grade level + disclaimer) • Earnings-style “red flag” system for urgent referrals • Secure local deployment (no hardcoded keys, OWASP-compliant) I’ll deliver a fully deployable kiosk system + Android API access, with continuous learning via doctor feedback loop. Happy to share architecture diagrams and similar AI system experience. Let’s discuss next steps.

@avinashdubeyg209

Noticed you need an AI engine to parse free-text and voices, then match symptoms to a diagnosis. Just last month, I implemented a similar NLP-driven conversational engine for a telehealth startup, where we integrated a clinically vetted symptom database. How do you envision handling voice data for diverse accents and dialects within your system? Let me know if we can start mapping out your solution today or if you’d like more insights on my approach.

@hassam945

Hi, I understand your requirements for a real-world AI health assistant with text/voice input, 2D avatar, and clinically-informed recommendations. According to my approach and mindset, I prefer a cost-effective yet high-quality solution: user queries pass through two AI models one for symptom extraction and another for medical reasoning validated against a medical knowledge database, then a final model generates the best probable diagnoses with confidence scores, explanations, and red-flag alerts. The system is designed for low-latency responses (<1 second per query), fully scalable to multiple kiosks or Android access, and securely manages API keys and sensitive medical data. Remote doctor review ensures continuous learning and accuracy. The front end delivers a smooth, interactive avatar experience and integrates patient device inputs (BP, SpO2, temp), all packaged as a secure, deployable Windows system with API access. I am also open to a different approach let’s come to chat, discuss your vision properly, and decide the best path forward. I am not here for juggling clients I choose projects only that I have confident with my skills because I have 1.5 year of continously developing real world systems. For your project I add real value to your project with full satisfaction that make me best from other service providers because I want the retain rate of client. Last thing ,Without paying you check my skills 2-3 days I hope you will satisfy and then hire me .Thank you

@drtaimoor

Hi, this aligns well with my experience in building AI + real-time systems with hardware integration, and I can help you develop a safe, scalable health kiosk solution. I would design this as a clinically constrained triage system, not an open diagnosis engine—using a structured symptom flow, bilingual (Hindi/English) voice/text interface, and a vetted knowledge base to generate confidence-scored outputs limited to common conditions, with clear escalation for serious cases. I can build a 2D avatar interface (Windows kiosk) with smooth lip-sync and low-latency responses, along with a backend that handles symptom input, test recommendations, vitals ingestion (BP, SpO2, temp), and report generation. The system will include doctor-in-the-loop validation, allowing remote review and controlled learning updates. Security and reliability will be key: no hard-coded keys, clean deploy scripts, audit logs, and OWASP-safe architecture. I’ll also ensure outputs are simple, explainable, and include proper medical disclaimers. Happy to discuss device integration, AI stack, and rollout plan.

@abdf2010

Hey, your project, AI Health Diagnosis Avatar looks like a great fit for my skills. I've worked on similar Machine Learning (ML) projects and can deliver solid results. Let me know if you'd like to chat about the approach.

@Mrigonovatech

As an AI developer with a strong background in machine learning, I'm the ideal fit for your AI Health Diagnosis Avatar project. Having worked extensively on AR, VR, and WebGL projects - including character and avatar development - I possess the technical acumen to build an engaging and effective conversational engine with intuitive front-end controls. In regards to your dataset concerns; with the introduction of natural language processing (NLP) models that handle symptom-checker datasets, bias control and ongoing updates will be efficiently ensured. Additionally, my prowess in clinical NLP models would be invaluable in mapping user answers against the clinically vetted symptom database, providing precise and probable diagnoses for common illnesses such as colds, flu, allergies, and stomach upsets. Moreover, my vast experience in deploying code securely aligns perfectly with your acceptance criteria. Let's uphold the ethical provision of healthcare information together by providing an informative and friendly first step for users before deciding upon seeking professional care. With a comprehensive understanding of your needs combined with my honed skillset and experience, I am eager to embark on this journey with you.

@kamran2012

This looks like a great fit, I will build your AI health diagnosis avatar with a conversational symptom engine, a lip-synced 2D/3D avatar front-end, and an embeddable React widget. The system will accept free-text and voice input, run follow-up questioning logic, and map responses against a structured symptom database to return probable common conditions with confidence scores and plain-language summaries. For the diagnostic engine, I will use a retrieval-augmented approach over a clinically vetted dataset rather than relying on raw LLM output alone. This keeps responses grounded, reduces hallucination risk, and makes bias control straightforward since every condition mapping traces back to a reviewable source. Questions: 1) Do you have a specific symptom dataset in mind, or should I propose options like Infermedica or a curated open dataset? 2) For the avatar, do you prefer a realistic 3D look or a stylized 2D character? 3) Should voice input use browser-native speech recognition or a dedicated service like Deepgram? Ready to start whenever you are. Kamran

@Royalitservices

Hi there, You’re absolutely in the RIGHT PLACE. I’ve delivered SIMILAR PROJECTS multiple times and know EXACTLY how to execute this efficiently and correctly from day one. To lock down the SCOPE, TIMELINE, AND PRICING, I’ll need to ask you a few key questions. Unfortunately, Freelancer’s 1500 CHARACTER LIMIT doesn’t allow me to break everything down properly here. Let’s jump on CHAT so I can show you my PROVEN PAST WORK, walk you through the REAL RESULTS I’ve delivered, and outline a CLEAR ACTION PLAN for your project. You’ll immediately see why my approach is DIFFERENT and EFFECTIVE. If you’re serious about getting this done RIGHT, I’m ready to move forward. Looking forward to CONNECTING and WINNING TOGETHER. Cheers, Mayank Sahu

@Robertx2002

With over a decade in AI-driven solutions, I have engineered symptom-checker platforms integrating advanced clinical NLP and avatar technologies, consistently delivering responsive, accurate diagnostics. Your project demands a seamless intersection of conversational AI, medical rigor, and user-friendly interaction—precisely my domain of expertise. You require a real-time, bilingual symptom-interactive engine paired with a naturalistic 2D avatar front-end, underpinned by secure, modular architecture for Health Kiosks and Android API access. I will architect a tightly governed pipeline leveraging clinically vetted Health LLMs, ensuring confidence-weighted outcomes alongside clear, accessible summaries. My implementation strategy includes leveraging secure code practices, robust federated learning for bias mitigation, and continuous model validation informed by remote physician feedback. Let’s initiate a collaboration where I translate your vision into a best-in-class, patient-centric interface. The worst that can happen is you walk away with a free consultation.

@VikashParekh

Hey there, At Kadders, we specialize in AI-driven health kiosks and voice chatbots, perfectly matching your needs for a conversational AI avatar with symptom checking, 2D lip-sync, and secure Windows/Android deployment. Technical Solution: Core Engine: LangDoc-based symptom checker with Whisper for Hindi/English voice input (<1s response), Health LLMs for common illnesses + confidence scores, integrated with BP/SpO2/temp devices and remote doctor review. Avatar: Unity WebGL with SALSA LipSync for smooth kiosk performance. Features: Plain-language reports, disclaimers, SMS delivery, OWASP-secure one-command deploy. Our Experience Deployed clinical NLP symptom checkers and avatar apps; expertise in bias control via diverse datasets and doctor feedback loops. Timeline: Full delivery in 6 weeks. Fixed Price: $8,500 (includes code, support). Let's chat! Best regards, Vikas Parekh

@jayprakashyadav

Hello, I reviewed your requirement for an AI Health Diagnosis Avatar (kiosk + API), and I can build a secure, real-time, production-ready system aligned with clinical safety. My approach: 1. Conversational Engine (Voice + Text) LLM-based triage with structured symptom flow + follow-up logic Integration with vetted medical datasets (ICD-based rules + LLM grounding) Multilingual (Hindi/English), <1s response via optimized inference Clear outputs with confidence scores + safety disclaimers 2. Diagnosis + Safety Layer Limit to common conditions; trigger escalation for red flags Rule-based + LLM hybrid to reduce hallucinations Doctor-in-the-loop review panel to edit/approve responses (feedback loop) 3. Avatar Interface 2D avatar (WebGL/Unity) with lip-sync + natural voice Optimized for Windows kiosk + Android API access 4. Device + Workflow Integration API layer to ingest BP, SpO2, temperature data Generate health reports + recommendations Optional video consult + report delivery to user device 5. Security & Deployment OWASP-compliant backend, no hardcoded keys Local deployment script + scalable API architecture ✔ Quick questions: Do you have preferred medical dataset/API? Which kiosk hardware/devices will be integrated? I can start immediately and design this end-to-end system. Thanks, Jay

@ixorawebmob

Hello, I’ve gone through your project details, and this is something I can definitely help you with. With 10+ years of experience in mobile and web app development, I specialize in AI and conversational interfaces. I am excited about the opportunity to create an interactive AI health diagnosis avatar that meets your needs. My experience with health-related LLMs and symptom-checking datasets positions me well to build a conversational engine that processes user inputs accurately and efficiently. I will ensure a smooth-functioning 2D avatar using Unity or similar frameworks, complemented by a concise medical summary that adheres to your specified reading level. Additionally, security is a top priority in my development process, ensuring compliance with the OWASP top-10 standards. Here is my portfolio: https://www.freelancer.in/u/ixorawebmob I’m eager to explore how we can fine-tune this design. Could you clarify whether you envision all features functioning in both Hindi and English?Could you clarify whether you envision all features functioning in both Hindi and English? Let’s discuss over chat! Regards, Arpit Jaiswal

@guptakishan805

Hello, I bring 5+ years of experience building AI-driven conversational systems, including healthcare-focused workflows, real-time voice interfaces, and LLM-based decision systems. I can develop your AI health avatar as a complete kiosk-ready solution—combining conversational AI (voice + text), symptom analysis using RAG/clinical datasets, and a Unity/WebGL-based avatar with real-time lip-sync. My approach focuses on safety and accuracy: controlled diagnosis scope (common conditions only), confidence scoring, doctor-in-the-loop validation, and structured outputs with explainable reasoning. I’ll design a modular pipeline integrating vitals (BP, SpO2, etc.), multilingual support (Hindi/English), and sub-second response via optimized inference. I ensure secure deployment (OWASP-compliant), scalable APIs for Android integration, and continuous learning via feedback loops. Let’s connect to architect a reliable, production-grade health AI system.