Dental X-Ray Analysis Web Platform / ML Developer

@Rekhathakur

As a leading-edge software development company, we at Well Spring Infotech possess invaluable experience in developing secure, medical-based platforms fueled by the power of AI and machine learning. Our team excels in building robust solutions that accommodate complex data management processes to ensure absolute security and privacy. Drawing from our extensive technical mastery in JavaScript, Python and cutting-edge web development tools like Django and Fast API, we can build the DICOM file compatible platform you require with seamless drag-and-drop functionalities, high-levels of encryption, and storage capabilities. Moreover, leveraging sophisticated ML models such as YOLO/U-Net/MONAI, endowed with numerous multi-label detection prowess honed through immersion in open dental datasets - we're adept at creating highly effective pathology detection/segmentation models. In conclusion, Well Spring Infotech is more than capable of delivering precisely what your ambitious project demands: advanced tech solutions that accelerate growth while giving utmost priority to ethical standards and patient privacy. Choose us now and let's start transforming your vision into reality!!! Thank you!!!

@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

@seefattechnologi

Okay understood your key requirements- to build a secure, cloud-based web platform for analyzing anonymized dental X-rays. -- I have extensive experience with similar PROJECT ---->>I am highly qualified to do this job with high QUALITY ----- I am Passionate .NET/Full stack developer having rich experience with so many successful Tasks. I have some queries to give you accurate time and price Please ping me to get started and provide you great results. Thanks

@SBITServices

Hi , Lets connect in chat so that We discuss further. With Regards, Sai

@abhisaini0188

Drawing from my 10+ years of experience, I am a seasoned, detail-oriented Senior Web & Mobile Application Developer who has successfully brought scalable, secure and AI-powered solutions to life. The prospect of bringing those same skill sets and more to bear on your Dental X-Ray Analysis Web Platform thrills me. Proficient in MEAN / MERN Stack (React.js among others), Python and utilizing TensorFlow, PyTorch for ML aspects, I can design an interactive UI with drag-and-drop upload and DICOM viewer and a robust backend with necessary stringent privacy compliance measures, including full anonymization of files. Beyond just building the platform, I guarantee that our cooperation will factor in ethical considerations like strict patient privacy, no origination storage, end-to-end encryption, audit logs as well as helping maintain your compliance-readiness (HIPAA/GDPR/APP principles). On top of all that, leveraging my extensive cloud experience with AWS/GCP and applying my competence in using FastAPI or your preferred backend framework, the system will be able to handle large volumes of data securely and with impressive speed. Let's collaboratively build a result-oriented, efficient platform that breaks new ground in dental health diagnostics while being ethically upstanding. Excited to weave technologies into life-enhancing practical use! With Regards! Abhishek Saini

@melikatfz

Hi there, The biggest risk in dental AI is poor DICOM metadata scrubbing and low model explainability, which can lead to compliance breaches and clinician distrust. Melika specializes in building HIPAA-compliant pipelines that utilize pydicom for rigorous anonymization and MONAI for high-precision segmentation, ensuring every detected pathology includes a clear confidence score and visual overlay for human verification. To ensure we hit the ground running, here are my questions: Are you planning to use a specific pre-labeled dataset like Mendeley or Tufts for the initial fine-tuning of the YOLO/U-Net models? Do you prefer a serverless architecture like AWS Lambda for the inference engine to optimize costs, or a dedicated GPU instance for real-time processing? Let’s discuss your project now!

@Muhammadzeesha59

Hello Sir/MAM I am a skilled full stack developer. Having rich experience in Java , C++ , C , C# , Python , Eclipse , Sql , Mysql , .Net ,Oracle , Object Oriented Programming , Data Structure , Algorithms . I have a perfect grip on “Artificial Intelligence” “Automation” , and work in “Machine Learning” Deep Learning ”. My track record as demonstrated in my 100% job completion and 5-star review rating showcases My ability to deliver exceptional results on time and with utmost quality I believe that my skill set makes me the ideal candidate for this project Please come on chat we will discuss more about this I will be waiting for your reply . Thanks and Best Regards

@managersingh

With over 8 years of experience in Web/App Development and Designing, I'm confident that I can deliver the exact web platform you need for your dental X-ray analysis project. Throughout my career, I've had the privilege to work with various APIs, including those from Amazon and Xero listed in your project requirements. This means that I'm well-versed in handling the secure auth and encrypted file handling necessary for your platform. In terms of your requested technology stack, I'm proficient in React.js/Node.js/Vue.js which will come in handy for building the clean Frontend with drag-and-drop upload. In addition, my skills in AWS (or competing cloud platforms) will ensure efficient deployment and storage using services like S3. My fluency in Python will facilitate the creation of a secure backend using FastAPI as you outlined. Notably, my experience covers compliance with audit logs and ethical aspects as required by your project, such as GDPR and HIPAA regulations. Overall, my broad-based technical knowledge combined with a knack for high quality code makes me a perfect fit for your platform's development needs. Let's make this happen!

@dataspro

Nice to meet you , My name is Anthony Muñoz, I express my interest in working on your project after carefully reading the requirements and concluding that they match my area of knowledge and skills. I am currently the lead engineer for the IT agency DSPro and I have more than 10 years of experience in the field. I have successfully completed a large number of similar jobs and I consider your project to be a challenge in which I would like to work and be able to make it a reality. Please feel free to contact me, it will be my pleasure to help you. I greatly appreciate the time provided and I remain attentive to any questions or concerns. Greetings

@dvcontact

Hello, How would you like to see a demo of a cutting-edge dental X-ray analysis platform that prioritizes patient privacy? Our unique approach leverages advanced ML models with a seamless user experience, ensuring strict compliance with health data regulations while providing robust analysis capabilities. Let’s connect to discuss how we can transform dental health analysis together. Best, Smith

@joomextensions

Hello, We are a skilled development team specializing in .NET, AI/ML, Python, Zoho, and custom enterprise solutions. We focus on delivering scalable, secure, and high-performance applications tailored to business needs. From automation and data-driven systems to CRM integrations and cloud-ready platforms, we ensure clean architecture, timely delivery, and clear communication throughout the project. Our goal is to provide reliable technology solutions that add real value and long-term growth to your business. Regards, Harsh Thoriya

@Hammadhassan21

Hello, I hope you are doing well! I can build a secure cloud based web platform to analyze anonymized dental X ray files with a clean React and Next js style frontend drag and drop upload DICOM viewer visual overlays heatmaps confidence scores and clear reports. The backend will use Python with FastAPI secure login full anonymization on upload encrypted handling AI detection of caries bone loss cysts and more with human review audit logs and compliance ready privacy first deployment on a major cloud provider. Note: I bring hands on experience with medical imaging AI secure systems and clear communication so this project stays safe compliant and reliable from day one. Please check out my profile to review my past projects and portfolio. https://www.freelancer.com/u/Hammadhassan21 If you find my offer satisfactory, we will be happy to discuss your project in detail. Thanks.

@rosscarter1011

Hi there, A major pitfall in medical AI platforms is the failure to sanitize DICOM pixel data, where burned-in patient text often remains even after metadata is stripped, leading to critical privacy breaches. I resolve this by implementing a multi-stage anonymization pipeline using pydicom and computer vision to ensure absolute data masking before the U-Net or YOLO models begin analysis. To clarify the technical requirements, here are my questions: 1. Do you have a preferred open-source dataset, such as Tufts or the Dental Radiographic Dataset, for the initial model fine-tuning? 2. Should the report generation produce a static PDF or an interactive web dashboard for the human oversight phase? Let’s discuss your project now!

@miscman

With extensive experience in the domains of Python, Django, and FastAPI, I believe I am the perfect match for your secure, cloud-based web platform project. My decade-long expertise in effective system-design ensures that not only will I prioritize user privacy and maintain full adherence to applicable standards like HIPAA/GDPR/APP principles, but also offer you transparency throughout the entire development process. I understand how important it is to build a system that respects patient confidentiality by making all their X-ray files fully anonymized on upload, whilst providing detailed audit logs. My track record of securely handling large-scale datasets should further instill the necessary confidence in this implementation. On the Machine-Learning side of things, my experience with PyTorch and TensorFlow makes me well-equipped to finesse state-of-the-art models like YOLO/U-Net/MONAI on open dental datasets for accurate pathology detection/segmentation. Moreover, I perceive 'explainability features' as vital as they bolster ethical practices - you can trust me to ensure your AI-driven annotations on X-rays are infused with comprehensive confidence scores and reflect the highest ethical standards. Let's construct an innovative and ethical Dental X-Ray Analysis Web Platform together!

@RusianD

Hi there. I have rencently developed this kinda project similar to yours, so I am very excited from this. I'm a software developer which have 7+ years of experience. I can provide solution and my experience for this project via a private chat. Let's discuss in more details via chat. I have got ideas brewing for your project, but I'd like to make sure they are aligned what you want. Best regards. Ruslan D.

@Ahmedh058

Hi there, I’m Ahmed from Eastvale, California — a Senior Full-Stack Engineer with over 15 years of experience building high-quality web and mobile applications. After reviewing your job posting, I’m confident that my background and skill set make me an excellent fit for your project — Dental X-Ray Analysis Web Platform / ML Developer . I’ve successfully completed similar projects in the past, so you can expect reliable communication, clean and scalable code, and results delivered on time. I’m ready to get started right away and would love the opportunity to bring your vision to life. Looking forward to working with you. Best regards, Ahmed Hassan

@chiragpipal

Excited about revolutionizing dental diagnostics with cutting-edge AI technology? I am! With 5 years of experience, I've developed secure and user-friendly platforms. I've built similar systems that are efficient, professional, and integrated with ML models for seamless analysis. I'll ensure strict patient privacy standards with full anonymization features and compliance readiness. Let's discuss how my expertise can elevate your project to the next level. I’d love to chat about your project! Worst case, you get free advice that can guide your project. Chirag Pipal Regards

@panroman50

Hello , ⭐️⭐️⭐️I'll do my best.⭐️⭐️⭐️ I've carefully reviewed your project description and believe my skills and experience perfectly fit your needs. I have over 10 years of experience in the JavaScript, Python, Cloud Computing, Django, Azure, Machine Learning (ML), Amazon Web Services, Web Development, Full Stack Development, FastAPI field and am highly skilled at delivering high-quality results. Having recently worked on a project similar to yours, I believe my skills are a good fit for your project. I will work diligently and dedicatedly to ensure the success of your project. Let’s build something great together. I’m ready to start immediately and committed to long-term success. Thank you for considering my bid. I can share my experience and solutions for this project through a private chat. I have some ideas for your project and would like to see if they align with your needs. Thank You Roman

@krisk63

Hi there, I'm Kristopher Kramer from McKinney, Texas. I’ve worked on similar projects before, and as a senior full-stack and AI engineer, I have the proven experience needed to deliver this successfully, so I have strong experience in Amazon Web Services, Machine Learning (ML), Azure, Web Development, FastAPI, Django, JavaScript, Python, Full Stack Development and Cloud Computing. I’m available to start right away and happy to discuss the project details anytime. Looking forward to speaking with you soon. Best regards, Kristopher Kramer