AI Image Recognition Developer

@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

@Microlent

Hello! I can build a secure, production-ready AI pipeline for medical text & image recognition with NLP modules and chatbot capabilities. Proposed Architecture Core Stack • Python (FastAPI backend) • PyTorch / TensorFlow for model layer • HuggingFace Transformers (clinical BERT variants) • OpenCV + MONAI for medical image workflows • PostgreSQL + encrypted object storage Medical Text Processing • Clinical NER (diagnoses, medications, procedures) • ICD/CPT-aware text classification • Sentiment & intent modeling for patient communication • Fine-tuned LLM chatbot with guardrails + retrieval layer Medical Image Recognition • DICOM preprocessing • CNN / Vision Transformer models • Segmentation & classification pipelines • Explainability (Grad-CAM / saliency maps) Compliance & Security • HIPAA-aware architecture • Encrypted PHI handling • Audit logs + role-based access Relevant Experience • Clinical document classification (ICD tagging + discharge summary parsing) • Radiology image triage prototype (X-ray classification + uncertainty scoring) • Healthcare chatbot with RAG + medical knowledge base I prioritize model explainability, clinical validation metrics, and deployment stability. Best regards, Jasmin

@ashinnd84

Hello there, I am interested in this opportunity. Please, send me the complete requirement to start the work. Thanks Ashish.

@hr157

Hi, I’d love to help build your AI system for medical text and image intelligence. With 10+ years as a full-stack developer working closely with AI workflows, I focus on practical, production-ready solutions — not just experiments — combining computer vision, NLP, and secure backend architecture. I understand the sensitivity of healthcare data and the need for accurate recognition pipelines. My approach would combine medical-aware OCR/image models, structured NLP pipelines for classification & sentiment analysis, and a chatbot layer designed around controlled prompts and validated outputs. What I’ll deliver: • Medical text & image recognition pipeline (Python-based) • NLP modules for classification, sentiment, and structured insights • Chatbot logic with safe response handling • Clean, documented code ready for scaling Why hire me: I focus on reliability, model performance, and maintainable architecture — ensuring your AI works consistently in real-world medical workflows, not just demos. Happy to discuss your datasets, compliance needs, and the best model stack to keep costs efficient while delivering strong results.

@mkh559a5a1fd66e9

Hi, I'm Maroof, a highly experienced Full Stack Developer with a passion for AI and machine learning. I possess extensive expertise in the realms of text and image recognition - skills that prove vital for your medical imaging project. Over the course of 14 years, I've honed my abilities in ML to deliver practical solutions that leverage natural language processing to perform tasks such as sentiment analysis, text classification and even chatbot development just as your project demands. I am well acquainted with medical terminologies, ensuring that your project would be tackled with ease. Moreover, my programming prowess- especially in Python- is something that would be employable during the project as you desire. In addition, my familiarity with CRFs (Conditional Random Fields) and OCR(post processing) would be invaluable for enhancing your system's performance. Although I haven't worked on projects specifically in the healthcare sector yet my experience with AI in varied domains has equipped me to tackle complex challenges efficiently which definitely extends to your project requirements.

@pedrofrancab

I can develop a complete AI solution for medical text and image recognition, combining computer vision and natural language processing to accurately extract, classify, and interpret clinical information. I have strong experience in Python-based AI development using frameworks such as PyTorch, TensorFlow, and scikit-learn, and I’ve built systems for OCR, medical image classification and segmentation, and NLP tasks including text classification, sentiment analysis, and chatbot integration. I am comfortable working with medical terminology, structured and unstructured clinical data, and multimodal pipelines that combine image and text inputs into reliable, production-ready models. In addition to model development, I can deliver a fully reproducible pipeline including preprocessing, training, evaluation, and deployment-ready inference scripts or APIs. I focus on clean, well-documented code and efficient architectures that work within hardware and budget constraints while maintaining high accuracy and reliability. My background in NLP and machine learning allows me to design scalable solutions that integrate seamlessly into existing systems, whether for automated document processing, medical image analysis, or intelligent conversational interfaces tailored to healthcare workflows.

@devanshkhandekar

Hi,I’m a seasoned Applied ML Engineer & I’ve delivered E2E CV + NLP systems: data pipelines, model training/evaluation & deployable inference APIs optimized for accuracy, speed & cost My Approach: 1. Scope + data audit: confirm modalities (scanned reports,prescriptions,radiology images,dermatology photos), label definitions, privacy constraints & target metrics 2. Image recognition: start with strong pretrained backbones(ConvNeXt/EfficientNet/ViT) & fine-tune for your tasks(classification, detection, or segmentation). Add augmentations, imbalance handling & calibration for reliable confidence scores 3. Text extraction + NLP: for medical documents, use OCR (PaddleOCR) with layout-aware parsing; then build classifiers (bi-encoder/transformer) for categories and sentiment. Use domain vocabulary handling & create an error-analysis loop 4. Chatbot: retrieval-augmented chatbot over your approved knowledge base, with guardrails, citations & escalation rules avoids hallucinations & keeps responses compliant 5. Delivery: reproducible training code (configs,MLflow/W&B) & a lightweight FastAPI for inference + clear documentation Relevant past work: * Built industrial image detection/segmentation pipelines (YOLO/Mask R-CNN) with robust preprocessing, QA checks & deployment as real-time APIs. * Delivered document AI systems combining OCR + text classification for noisy scans * Implemented monitoring & retraining loops (slice metrics, drift checks, threshold tuning)

@chiragardeshna

Hi there, I am a strong fit for this project because I have built AI systems combining medical image analysis and NLP pipelines for structured healthcare data processing. I have implemented CNN and transformer-based models for medical image classification, OCR-driven medical text extraction, clinical text classification, sentiment analysis, and healthcare-focused chatbots. I work primarily in Python using PyTorch or TensorFlow, OpenCV, medical imaging libraries, and NLP frameworks such as Hugging Face, with secure data handling aligned to healthcare standards. I reduce risk by separating image and text pipelines, validating outputs against annotated datasets, implementing explainability where required, and delivering modular code that supports future regulatory or integration needs. I am available to begin immediately and can share relevant healthcare AI project examples upon request. Regards Chirag

@iwebphpdeveloper

Hello,hope you are doing well. I’m an AI specialist with extensive experience in text and image recognition, particularly in healthcare applications. I’ve worked on medical imaging projects and NLP solutions, developing tools for text classification, sentiment analysis, and chatbots that streamline medical workflows. I understand medical terminology and can translate complex requirements into robust AI solutions. Here’s how I can contribute to your project: • Build accurate text & image recognition models for medical data • Develop NLP pipelines for classification, sentiment analysis, and chatbot integration • Ensure compliance with healthcare data standards and deliver within budget I’d love to discuss your project further and share examples of similar work I’ve done. I’m confident in delivering high-quality AI solutions that meet your requirements efficiently. Best Regards, Abhijeet

@ixorawebmob

Hello, I’ve reviewed your project details, and I believe I can help you successfully develop text and image recognition capabilities for medical applications. With over 12 years of experience in AI and machine learning, I specialize in text and image recognition, particularly in health-related vector spaces. My proficiency in natural language processing allows me to effectively handle text classification, sentiment analysis, and chatbot development. Python is my primary programming language, and I've successfully delivered multiple projects in the healthcare sector that align with your requirements. Here is my portfolio of relevant work: https://www.freelancer.in/u/ixorawebmob. I’d appreciate understanding additional details about your project. Here’s a question for you: What specific medical imaging tasks are you looking to automate with AI? Let’s discuss this exciting opportunity further! Regards, Arpit Jaiswal

@Hemantt841

I was immediately drawn to your project description seeking an AI Image Recognition Developer for processing medical text & images. With over 7 years of experience in software development, I have successfully implemented AI solutions in various industries, including healthcare. My approach to completing this project would involve: - Conducting a thorough analysis of the medical text & images to understand the specific requirements. - Implementing state-of-the-art AI algorithms for text & image recognition using tools like TensorFlow and OpenCV. - Developing NLP models for text classification, sentiment analysis, and chatbot development. - Ensuring seamless integration of the AI models into your existing systems to optimize performance. I have previously worked on a similar project for a healthcare provider where I developed an AI-powered medical image analysis tool that improved diagnostic accuracy by 30%. This experience has equipped me with the skills necessary to deliver high-quality results within budget constraints. In considering your project, I'm curious about the specific medical imaging formats and the volume of data that need to be processed. This information will help me tailor the solution to meet your exact needs. Feel free to review my portfolio for relevant work samples.

@jaroslavcaprata

Hi, there. I will develop a Python-based AI pipeline combining medical image recognition using CNN or transformer architectures and NLP models such as BioBERT for clinical text classification and entity extraction. The system will process structured and unstructured medical data, perform text classification, sentiment analysis, and power a conversational chatbot layer through a secure API. All components will be modular, validated with cross-validation and precision/recall metrics, and designed for 95 percent+ accuracy targets depending on dataset quality. For imaging, I’ll implement preprocessing, augmentation, and model fine-tuning using TensorFlow or PyTorch, with explainability tools such as Grad-CAM to support medical transparency. The NLP module will include domain-specific tokenization, intent recognition, and fallback handling to ensure stable chatbot interactions across 1,000+ query variations. I have delivered 6 AI healthcare-related prototypes, improving classification F1-scores by 12–25 percent after optimization and reducing manual review workload by up to 40 percent. If this sounds good, connect in chat and we can start. Thanks, Jaroslav Caprata

@ShaydeeN1

I am a perfect fit for your project, understanding your need for clean, professional, and user-friendly AI solutions that seamlessly integrate text and image recognition with advanced NLP tasks in the medical domain. With expertise in AI, machine learning, and Python programming, I specialize in developing automated systems for medical text classification, sentiment analysis, and chatbots. I have tons of experience and have done other projects off site, including healthcare-related AI implementations that emphasize accuracy and compliance. I would love to chat more about your project! Regards, Shay-Dee

@somu29

I’d be happy to help with your AI project focused on medical text and image recognition. I have experience building AI/ML solutions using Python, including NLP tasks like text classification, sentiment analysis, and chatbot development, along with computer vision workflows for image analysis. I can help design a reliable pipeline for processing medical data while keeping accuracy, scalability, and practical deployment in mind. I also understand the importance of clean data handling and domain-specific terminology in healthcare-related projects. I can share relevant examples of similar AI work and discuss the best approach once we connect. Looking forward to collaborating.

@phaneendrav1

I came across your project, and I’m really interested in helping you build the image recognition solution you’re looking for. I’ve worked on similar computer vision and machine learning systems before, and I’m confident I can deliver clean, accurate results that meet your goals. I have experience with image processing, object detection, and classification models using tools like Python, TensorFlow/Keras, and OpenCV. My approach focuses not only on achieving high accuracy but also on making the system practical and easy to use. Here’s how I’d tackle your project: Understand your specific dataset and labeling needs Set up and train an image recognition model using an appropriate architecture (e.g., CNN, transfer learning) Evaluate the model’s performance and improve accuracy with tuning and testing Provide a working script or application that takes input images and outputs correct predictions Include clear documentation so you can run and maintain the system on your own I’m happy to discuss options like using pre-trained models, data augmentation, or deployment details to match your needs. If you have specific accuracy targets, performance requirements, or a timeline in mind, I’d love to hear them. Looking forward to hearing from you and discussing this further! Thanks, VR Phaneendra

@translation7210

Hello, I am an experienced AI/ML Engineer specializing in text recognition, image recognition, and NLP-based AI systems. I have strong hands-on experience in Python and modern machine learning frameworks, and I have worked on building scalable and accurate AI solutions. For your medical text and image processing project, I can help with: Medical text extraction and understanding using OCR and NLP Text classification and sentiment analysis using transformer-based models NLP pipelines for handling medical terminology and structured data extraction Medical image recognition using deep learning (CNN / Vision-based models) AI-powered chatbot development for healthcare-related queries Technical Skills: Python, PyTorch, TensorFlow NLP models (BERT, domain-adapted models) OpenCV and image processing Chatbot development (LLM-based and rule-based) API development using FastAPI / Flask Cloud deployment and scalable architecture I understand the importance of accuracy, data privacy, and domain-specific knowledge in healthcare AI projects. My approach focuses on building reliable, cost-effective, and production-ready solutions within budget constraints. I am confident I can deliver high-quality results and would be happy to discuss your requirements in detail. Best regards, Pintu Shakya AI/ML Engineer

@mehdiamer

Hello, I’m very interested in your AI project for medical text and image recognition. I have strong experience in machine learning, NLP, and deep learning using Python (TensorFlow, PyTorch, Scikit-learn). I can develop: Medical text extraction & classification (OCR + NLP) Medical image recognition models Sentiment analysis & text classification Intelligent medical chatbot solutions I focus on building accurate, scalable, and cost-effective AI systems. I have previously worked on document classification, NLP pipelines, and AI-based chatbots. I would be happy to discuss your requirements and propose a clear development plan within your budget. Best regards, El Mehdi Amer

@ssldevmaster

Hi, I can easily DO your work IN 24 HOURS, DM me now to get started, PRICE NEGOTIABLE 100% Work satisfaction is provided

@annam044

As an AI developer, I believe my specialized skills and experience make me perfectly suited for your project. During my time I've had the opportunity to work on numerous AI projects, including those in the healthcare industry. My background as a dental technician and my proficiency in 3D modeling aligns well with your need for image recognition, particularly in medical imaging. It provides me a unique comprehension of medical terminologies critical to the accurate processing of your text and images. Moreover, I'm also an aficionado of natural language processing, familiar with tasks such as text classification, sentiment analysis and chatbot development; this broadens my scope and adds depth to my approach to image processing. Proficient in Python, I ensure maximum efficiency in my coding process. In terms of budget constraints, rest assured that I comprehend the importance of delivering high-quality results within such limitations. In conclusion, I consider this opportunity as enriching for both parties involved. My existing skillset along with my familiarity with NLP tasks and medical context would mesh well with the unique challenges presented by your project. Let's get started on this transformative project together!