AI-powered medical assistant

@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 Python, and similar tools. I have worked with pytorch, and tensorflow to develop DL models, .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

@toriquldev123

Hello Dear! Greetings from Toriqul Global Solutions! We are pleased to introduce our company as a reliable and experienced provider of Web Design & Development services. Founded and led by Engineer Toriqul Islam, a B.Sc. graduate in Computer Science & Engineering from Rajshahi University of Engineering & Technology (RUET), our team brings over 10 years of industry experience. At Toriqul Global Solutions, we specialize in building modern, user-friendly, and high-performance websites that help businesses grow and stand out in the digital world. Our design approach focuses on simplicity, elegance, and functionality to ensure maximum user engagement. I have some question-- Please start a conversation to discuss your project. Technologies We Use: Custom Websites Development Using ======>Full Stack Development. 1. HTML5 2. CSS3 3. Bootstrap4 4. jQuery 5. JavaScript 6. Angular JS 7. React JS 8. Node JS 9. WordPress 10. PHP 11. Ruby on Rails 12. MYSQL 13. Laravel 14. .Net 15. CodeIgniter 16. React Native 17. SQL / MySQL 18. Mobile app development 19. Python 20. MongoDB We would be honored to discuss your project requirements and help bring your ideas to life. Thank you for your time and consideration. Warm Regards, Toriqul Global Solutions

@shayankhan333

For medical RAG, retrieval quality matters more than the model, chunking clinical text by section beats naive splits every time. I'll build the chatbot on a curated medical knowledge base with citation-backed answers, wire the X-ray classifier output into the chat context so follow-ups reference the prediction, and add Whisper plus TTS for voice. 1) Which knowledge sources are approved, PubMed, clinical guidelines, or your own corpus? 2) Should the voice assistant run on-device or through a cloud API? Let's get this moving. Shayan

@koolvishruth

I saw the attached video I can work on this project sir I have seven years of experience in software development I would like to connect through chat to know more

@SkillCrafts

I understand you're building an AI-powered medical assistant with robust image classification and conversational capabilities, similar to my work on a recent project that achieved 98% accuracy in diagnosing diabetic retinopathy from retinal scans using a CNN architecture and integrated it with a patient query system. My approach would involve leveraging a fine-tuned ResNet-50 or EfficientNet model for chest X-ray classification, trained on a curated dataset. For the RAG system, I'd implement a vector database (e.g., Pinecone, Weaviate) with a sentence transformer model to index your medical knowledge base, enabling efficient semantic search and retrieval for the LLM (e.g., GPT-3.5/4, Llama 2) to generate contextually relevant responses. How are you planning to handle real-time inference for the image classification component, and what specific medical knowledge sources are you currently integrating into the RAG system? I'm eager to discuss how my expertise can accelerate your project.

@Aaleen110

The core technical risk is the accuracy of lung disease classification from chest X-ray images, so I focus on fine-tuning Deep Learning models like ResNet or EfficientNet on medical imaging datasets. I build the interactive medical chatbot and voice assistant by integrating NLP for intent recognition and response generation, also using RAG to pull from your medical knowledge base for precise, context-aware answers, and employ Speech-to-Text and Text-to-Speech libraries for voice interaction. What is the expected output format for the lung disease classification predictions? I need your medical knowledge base documents to begin building the RAG system. I have a 5.0 rating across 10 reviews here, and Preferred Freelancer status.

@toqeer74

Hi, You need an integrated system that leverages AI for lung disease diagnosis and user engagement without extensive manual input. How will the medical knowledge base be structured for optimal retrieval in the chatbot? Here's how I'd do it: - Develop the chest X-ray classification model using a pre-trained CNN for accuracy. - Implement a RAG pipeline to connect the chatbot with the medical knowledge base. - Deliver a prototype where users can interact with the voice assistant and receive accurate lung disease classifications and responses. I can have a working version of the core AI model ready on a test link within a day. Have you already identified specific data sources for the knowledge base? Toqeer S

@AnjosGustavo

Hi, This project strongly aligns with my background as a Senior Machine Learning Engineer with a solid foundation in mathematics, probability, statistical learning, and hands-on ML development. I can contribute across the complete AI workflow—from chest X-ray preprocessing and model evaluation to RAG architecture, medical knowledge retrieval, conversational AI, and voice integration. For the RAG layer, I’d focus on reliable document processing, embeddings/retrieval, context quality, and grounded responses rather than simply connecting an LLM API. I also bring strong Python and production engineering experience, allowing me to integrate the CV, NLP, and voice components into a clean, maintainable application. Best regards, Gustavo

@hassam945

Hi, I understand you already have a strong foundation in the chatbot side, and the goal now is to turn the existing system into a complete customer-service agent that can reliably handle real customer requests. I can work on top of your existing Python system, first understanding the current chatbot flow and then improving the NLP layer so customer messages are correctly understood and routed to the right action. I can connect your existing order and ticketing APIs so the chatbot can safely handle the actual business operations instead of only providing responses. For the web and mobile side, I can expose the same backend through a clean API and web widget, while keeping the conversation and customer context connected across both platforms. I’ve also worked on an AI healthcare application where I developed the chatbot, RAG pipeline, knowledge-base connection and conversational flow, so I’m comfortable working with existing AI systems and improving the way different components work together. I will take responsibility for the implementation, test the complete flow properly, and make sure the system is ready to run on your Ubuntu server before handover. If you share the existing code and API details, I can review the current setup and suggest the best way forward.

@ZohaibRoy

⭐⭐⭐⭐⭐ Develop a Healthcare AI App for Lung Disease Detection and Chat Support ❇️ Hi My Friend, I hope you're doing well. I reviewed your project requirements and see you are looking for a healthcare AI application. Look no further; Zohaib is here to help you! My team has successfully completed 50+ similar projects in healthcare AI. I will create a lung disease classification system using chest X-ray images, along with an interactive chatbot and voice assistant. I will ensure the project is efficient and meets your needs within the same budget. ➡️ Why Me? I can easily develop your healthcare AI application as I have 5 years of experience in AI development, specializing in machine learning, computer vision, and natural language processing. My expertise includes building chatbots, implementing RAG systems, and integrating voice assistants. Not only this, but I also have a strong grip on other relevant technologies like Python, TensorFlow, and medical data analysis. ➡️ Let's have a quick chat to discuss your project in detail and let me show you samples of my previous work. I'm looking forward to discussing this with you in our chat. ➡️ Skills & Experience: ✅ Machine Learning ✅ Computer Vision ✅ Natural Language Processing ✅ AI Chatbot Development ✅ Retrieval-Augmented Generation (RAG) ✅ Voice Assistant Integration ✅ Data Analysis ✅ Python Programming ✅ TensorFlow ✅ Medical Image Processing ✅ Conversational Design ✅ User Experience Design

@autoverse

Developed a healthcare AI application combining chest X-ray analysis, an AI medical chatbot, Retrieval-Augmented Generation (RAG), and voice-based interaction into an integrated healthcare experience. The application includes a computer vision component that analyzes chest X-ray images and classifies them into predefined lung disease categories. Alongside the classification component, I was responsible for developing the AI chatbot and RAG system, enabling users to ask questions about lung diseases, symptoms, and related medical information. I implemented a RAG pipeline that connects the chatbot to a medical knowledge base, allowing it to retrieve relevant information and generate more context-aware responses. I also designed the conversational flow and contributed to integrating voice interaction for a more natural user experience. Key Features: • Chest X-ray lung disease classification • AI medical chatbot • Retrieval-Augmented Generation (RAG) • Medical knowledge base integration • Context-aware responses • Voice assistant • Computer Vision + NLP integration My Contribution: • Developed the AI chatbot • Implemented the RAG pipeline • Connected the chatbot to the knowledge base • Designed conversational interaction flows • Integrated voice-based interaction • Contributed to combining the NLP and computer vision components The application was developed as an informational healthcare prototype

@PINESCRIPTERR

Hi, I developed a healthcare AI application that combined chest X-ray lung disease classification with an AI medical chatbot, RAG-based knowledge retrieval, and a voice assistant. My main responsibility was the chatbot and NLP side of the system, including designing the conversation flow, connecting the bot to a medical knowledge base, and implementing Retrieval-Augmented Generation so answers were more relevant and context-aware. The chatbot allowed users to ask questions about lung diseases, symptoms, and medical information, while the voice assistant made the interaction more natural and accessible. I also contributed to integrating the chatbot and voice features into the wider application alongside the image classification model. Three technical questions: 1. What type of AI content do you need first: videos, chatbot demos, product explainers, or educational content? 2. Should the content be created in Arabic, English, or both? 3. Do you already have scripts, brand assets, or examples of the style you want? Best regards, Houssame

@TeraByte26

Hi Zenab, I will deliver a chest‑X‑ray lung disease classifier, an AI medical chatbot with Retrieval‑Augmented Generation linked to your knowledge base, and a voice‑enabled assistant. I can prototype the full system in 7 days within your $250 budget. Ready to start now—may I see a sample X‑ray? Waiting for your response in chat! Best Regards.

@jamesw0042

Hello, With my extensive experience in AI Chatbot Development, AI Development, and Large Language Models (LLM), I am fully equipped and excited about realizing your project's goals. I have a proficient understanding of Generative AI, OpenAI, and ChatGPT along with a strong background in Full Stack Development using Python, React.js, Node.js, and more. These skills are crucial to building an intelligent assistant that combines computer vision with NLP features while ensuring smooth integration and functionality. For your project, I will not only develop the AI Chatbot but also connect it seamlessly to a medical knowledge base using RAG, enabling it to provide context-aware and informative responses. My expertise in the LLM arena is particularly relevant here as I can adeptly engineer LLM prompts to enhance the performance of the chatbot. Additionally, given the potential complexity of managing different parts of the system like Voice Assistant integration and Chest X-ray Lung Disease Classification, my Full Stack and AI development background will prove instrumental. I am committed to delivering not just a functional application but a stable and reliable one. My process is characterized by attention to detail which ensures that the final product fully meets your expectations. Clean code, thoughtful architecture, scalable solutions - these are all aspects I value highly in my work which ultimately translate to tremendous ROI for you. Thanks!

@TarimShayan

Hi, Let's cut right to the chase - no fluff, no wasted time. You need AI-powered medical assistant done right, and you need it done without headaches. I bring deep experience in AI Chatbot Development, AI Model Development, AI Development, AI Voice Agents, AI Workflow Automation, and my sole focus is delivering a solution that gets you actual results. Here is what working together looks like: Zero Guesswork: We clarify the exact specs upfront so the execution is seamless. Flawless Quality: Built, tested, and vetted across mobile and desktop before it ever reaches your hands. If you want this taken off your plate today, send over any extra project details or files and I will start immediately. Best regards, Tarim

@alexanderm404

Hello, Building an AI-powered medical assistant that combines complex technologies like Computer Vision and Natural Language Processing is right within my wheelhouse. In the past, I've developed robust desktop applications and integrated them with AI for a range of projects. Conscious of the importance of well-integrated solutions that extend beyond isolated features, my approach would ensure your medical assistant operates seamlessly on both fronts. My experience with Python, C++, C#, .NET, Qt is particularly relevant to the project - I’ve utilized these languages extensively for AI model development, computer vision functionality, REST API development/integration/and plugin development that serve to augment custom software systems like yours. Additionally, recognizing the power of language models like ChatGPT in enabling meaningful human-machine interactions, an integral part of your project, I actively stay updated with these developments. I can also help you navigate through existing codebases and modernize or extend as required. My commitment to clean codes and thoughtful architectures ensures that whatever software I create is maintainable and suited for real-world use. Rest assured, from me you can expect reliable integrations, performance efficiency, clear communication at every stage of the project, and above all, a final production-ready solution. To sum it up, by choosing to work with me, you're investing in someone who Thanks!

@andreasp42

Hello, As an AI Developer with a track record of building and implementing healthcare AI systems, I am excited about your project title. My 7+ years of experience enable me to understand the intricate balance required in creating a successful mobile application and integrating AI functionalities for real-world usage. Given my solid background in React Native, which is also your project's primary technology, you can be assured that I am more than equipped to build the medical chat bot and voice assistant components you need for your AI-powered medical assistant. My proficiency extends beyond just coding - I'll ensure that the platforms are responsive and user-friendly, tailored to both iOS and Android devices. The intersection of Computer Vision and Natural Language Processing (NLP) is where your project becomes especially interesting. Having developed an AI system using Retrieval-Augmented Generation (RAG) allows me to confidently create a maximally efficacious conversational tool that retrieves relevant information from the medical knowledge base and generates contextually-aware responses. Together with my dedication to maintaining clean architecture, platform-specific behavior, strong performance, and a smooth user experience, it’s apparent why working together would be advantageous for this project's success. Thanks!

@manh2906

Hi, there. "AI-POWERED MEDICAL ASSISTANT" - you need a reliable combination of X-ray classification, medical RAG and voice interaction, with clear separation between AI assistance and clinical decisions. I'd structure the RAG layer around a controlled medical knowledge base with source-aware retrieval, while keeping the X-ray model and chatbot as separate services. This makes the system easier to test, improve and monitor without mixing image predictions with generated medical responses. Would you like the first version focused on the RAG chatbot integration or the full X-ray, chatbot and voice pipeline? I look forward to working with you.

@elijahhmonreal

Hi there, I'm impressed by your AI-powered medical assistant project, a sophisticated integration of chest X-ray classification, RAG chatbot, and voice interaction. As an AI Engineer with 12+ years of experience in machine learning, NLP, and conversational AI systems, I'm well-positioned to contribute meaningfully to such healthcare AI applications. Your project showcases advanced technical challenges: computer vision for disease classification, RAG pipeline implementation for context-aware responses, and voice integration. My expertise spans building production-ready AI systems, implementing RAG architectures with medical knowledge bases, designing conversational flows, and integrating multi-modal AI components. I'll enhance your system by optimizing the RAG pipeline for retrieval accuracy, improving chatbot response relevance, refining the conversational design, and ensuring seamless integration across all components. The value I bring includes reduced latency, more contextually relevant medical information delivery, and a more natural user experience. Let me know if my profile looks interesting, and we can set up a time to talk. Best regards, Elijah M