AI Engineer (Computer Vision + Backend) for Skin Analysis Platform

@AwaisChaudhry

Hi there, I’m Muhammad Awais, and I will deliver a compact MVP that fuses image analysis results with a rule-based decision engine to generate safe skin recommendations. I will start with a simple prototype that can: - run image analysis via a pre-trained model or open API - extract acne, redness, oiliness, and other attributes - accept questionnaire data - apply a clear rule engine to output structured guidance The focus is on system logic and reliable deployment, not just the model. I will build a small backend service, endpoints for image upload and questionnaire input, and a lightweight decision layer that can be extended later. I’ll package the MVP with clear docs and a minimal test harness so we can validate end-to-end flow quickly. What are your preferred data privacy requirements and which skin attributes should be prioritized in the MVP? Best regards,

@kareemmaize

Hi, the clean way to build this MVP is to treat computer vision and recommendations as two separate but connected layers. A real flow would be: user uploads a facial image and completes the questionnaire -> image service extracts attributes such as acne, redness, and oiliness with confidence values -> backend normalizes those results with the questionnaire answers -> rule engine applies safe decision logic -> system returns structured recommendations with clear reasoning instead of raw model guesses. That is the part that makes the product usable and safer from day one. These systems often look impressive, but fail when model outputs are used too directly. One real issue is a vision model returning plausible skin attributes while uncertainty or conflicting questionnaire signals are ignored, which can produce weak or unsafe recommendations, so I would handle it by putting the decision engine in control and treating CV output as weighted evidence rather than final truth. The part to get right early is the CV-to-rule-engine interface, because that controls both recommendation quality and long-term maintainability.

@Mahihassi

With a solid background in AI model integration, API development, and backend development — complemented by my extensive experience with computer vision and image processing — I am confident that I am the ideal candidate for your project. Having worked on multiple long-term projects similar to yours, I understand the intricate nature of combining AI outputs with structured decision logic. As an AI and Cloud developer, I provide scalable backend systems that seamlessly connect your AI models with user-friendly interfaces. From my past experiences, I've learned to prioritize system logic similar to what you require in your MVP phase. I can leverage pre-trained models or open-source models — whichever aligns better with your needs. Not to mention that I have hands-on experience working with APIs, cloud platforms, and database systems; these skills would play a significant role in developing your state-of-the-art skin analysis platform. Moreover, my passion for delivering clean architectural designs and production-ready systems supports my commitment to not only meet but exceed your expectations. By collaborating with me, you can be assured of a future-proof solution that is built on reliable technologies like Python, FastAPI, Node.js, and React (which are all part of my skillset). With our partnership, we can ensure your project's success from MVP to its full realization. Let's revolutionize skin analysis together!

@irsolutions

With over a decade of experience in computer vision and backend systems, I understand your goal of building an AI-based skin analysis platform that requires precise image analysis and a robust decision engine. My background in developing high-complexity systems, such as scaling Telegram Mini Apps for over 1 million users, directly applies to the challenges of ensuring accurate skin attribute extraction and safe recommendation generation. For strategic insight, leveraging a pre-trained model for image analysis can expedite the prototype development process while ensuring accuracy. One of my past successes includes scaling AI solutions in the health tech space, showcasing my ability to handle the intricacies of integrating complex systems effectively. I encourage you to reach out to discuss how we can collaborate on this exciting project and ensure its success. Let's connect to discuss the roadmap for your AI-based skin analysis platform.

@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

@tadinhkien

Greetings, Thank you for considering my application for this project. As an AI Engineer and Python Developer with over 8+ years of experience, I bring a wealth of knowledge and expertise in the field of Python, Deep Learning. I have carefully reviewed the project description and am eager to discuss your specific needs and requirements in more detail. My commitment is to provide dedicated support and consistent follow-up throughout the project's lifecycle. Please feel free to reach out to me to further discuss how I can contribute to the success of your project. Looking forward to the opportunity of working together. Best regards, KuroKien

@MashoodurRehman1

I am an experienced AI engineer specializing in computer vision and backend systems, making me well-suited for your AI-based skin analysis platform project. With a solid background in image analysis, I have successfully integrated pre-trained models and open-source solutions into various projects, ensuring efficient and accurate results. My experience extends to developing robust backend systems that seamlessly connect AI outputs with logic-based decision engines. I understand the importance of the rule-based system in your project and have implemented similar solutions that synthesize image data with structured decision-making processes. Familiarity with working alongside APIs will enable me to create a cohesive platform, enhancing the overall functionality and user experience. I am keen to learn more about your specific requirements and discuss how I can contribute to successfully building the prototype. Could you provide further insights into the existing questionnaire data integration? I am available for a detailed discussion to explore this opportunity further.

@Herculesz

Hi I can help build the MVP prototype for your AI-based skin analysis platform, with the focus on connecting image analysis outputs to a safe rule-based recommendation engine. The key technical challenge is not only detecting attributes like acne, redness, or oiliness, but converting those results plus questionnaire answers into consistent, explainable, and non-medical recommendations. I can integrate a pre-trained vision API or open-source computer vision model, then normalize the output into structured backend data. For the decision engine, I’d design clear rules, confidence thresholds, safety checks, and recommendation mapping so results stay predictable and easy to improve over time. My experience includes backend APIs, model integration, computer vision workflows, and logic-based systems using Python, FastAPI/Laravel/Node.js, REST APIs, and database-driven rule structures. The prototype would show the full flow from image upload to extracted attributes, questionnaire merge, recommendation output, and admin-editable logic if needed. This gives you a strong MVP foundation that can later scale into more advanced model training or personalization. Thanks, Hercules

@corpmember29

BUILD A SAFE, EXPLAINABLE AI SKIN ANALYSIS ENGINE—NOT JUST A BLACK-BOX MODEL. With 12+ years in AI and backend systems, we’ve built solutions that combine computer vision with rule-based decision engines—exactly aligned with your MVP focus. Approach: Start with a reliable pre-trained CV model/API (for acne, redness, oiliness detection), then layer a structured rule engine that merges image outputs with questionnaire inputs to generate safe, traceable recommendations. Core Components: • Image analysis (API or open-source model integration) • Feature extraction (skin attributes + confidence scores) • Rule-based engine (conditions, thresholds, safety rules) • Recommendation layer (structured, explainable outputs) • API backend for processing & responses Workflow: Image upload → CV analysis → attribute extraction → combine with questionnaire → rule engine → recommendations Tech Stack: Python (FastAPI) / Node.js, OpenCV or model API, PostgreSQL, modular rule engine (JSON/logic-based), scalable API design Deliverables (MVP): • Working prototype (image → analysis → recommendations) • Clean API endpoints • Configurable rule engine • Documentation for logic + model integration We focus on accuracy, safety, and explainability—critical for this domain. Ready to start immediately and evolve this into a robust, production-grade system.

@kamran2012

Hey, I will build the prototype connecting facial image analysis with your rule-based decision engine — skin attribute extraction, questionnaire integration, and structured recommendation output. For image analysis, I will use MediaPipe Face Mesh combined with a fine-tuned classifier for attributes like acne and redness. The key architecture decision is keeping the decision engine fully decoupled from the CV pipeline — so you can swap models later without rewriting any recommendation logic. Questions: 1) Do you have a defined set of skin attributes and questionnaire fields for the MVP? 2) What backend stack or deployment target are you working with? Looking forward to potentially working together. Thanks, Kamran

@techplusintl

Hi, To build a simple prototype that connects image analysis results with rule-based recommendations, I'll leverage my experience in computer vision and backend systems. This will include: - Integrating a pre-trained model or API for image analysis - Developing the decision engine for structured recommendations - Ensuring seamless communication between components - Testing the prototype for accuracy and reliability I will follow a structured approach, focusing on the integration of AI outputs with the decision logic to ensure the system meets your requirements. Ready to start once you provide access to any existing data or further clarification. Thanks!

@AITSoft

Hello, I will build a simple MVP that connects image analysis results with a rule-based decision engine. We’ll use a pre-trained model or open-source image analysis for skin attributes (acne, redness, oiliness) and feed those results with questionnaire data into a structured decision layer. The goal is a robust backend flow where image features and rules generate safe, actionable recommendations. The focus here is solid system logic and reliable data integration, not just model accuracy. We’ll expose a small API to run the analysis and return recommendations, with clear logging and safe defaults for missing data. The approach keeps the pipeline modular so you can swap or update the image model or rules without breaking the system. How should we prioritize handling of edge cases (e.g., lighting variation, occlusions, makeup) in the image analysis for the MVP? Questions for you: - Do you have preferred data privacy constraints or storage requirements for facial images? - Are you open to a hosted API or do you need an on-premise option? - Which rule engine approach do you favor (custom rules in code, or a lightweight rule DSL)? - Do you need a basic recommendation catalog to start, or should we wire in a separate service later? - What metrics will define MVP success (latency, accuracy of attributes, number of rules)? Best regards,

@Hubready

... Hello!, I am a Florida-based senior software engineer with extensive experience in AI and backend development. I carefully reviewed your project about the AI-based skin analysis platform and am excited about the opportunity to contribute to this innovative solution. With around 15 years in the field, I specialize in machine learning, image processing, and API development. My background includes designing production-grade software that effectively combines technical excellence with practical application, ensuring that your platform meets its goals of accurate skin analysis. To better understand your needs, could you please clarify the following questions? 1. What specific image analysis features are you looking to implement? 2. Are there any particular performance benchmarks you aim to achieve with this platform? 3. Will you require ongoing support and maintenance after the initial deployment? I suggest starting with a detailed requirements gathering phase, followed by the development of a prototype to validate the core functionalities. This approach ensures that we stay aligned with your vision and deliver a product that truly meets user needs. Let’s discuss how I can help bring your project to fruition. Looking forward to your response! -James

@Guptapuru304

Hello, We've thoroughly reviewed your project details for the AI-based skin analysis platform. Your focus on integrating image analysis with a rule-based decision engine resonates with our expertise. We recently completed a similar project where we developed a computer vision solution to analyze dermatological images and integrated it with a decision-support system. This experience aligns closely with your requirements for combining image data with structured logic. Our expertise in AI-first product development, particularly in computer vision and backend systems, positions us to deliver exceptional results for your project. With over 8 years of experience and a proven track record of top-rated outcomes, we are confident in our ability to create a robust prototype that connects image analysis results with rule-based recommendations. Our skills in API development, model integration, and deployment will ensure a seamless and scalable solution. We invite you to review our portfolio, which showcases our successful implementations of intelligent systems, to see how we can enhance your project. Please message us with more details, and we'll deliver a detailed, tailored proposal within 24 hours. Looking forward to collaborating on this innovative platform. Best regards, Puru Gupta

@toriquldev123

Toriqul Global Solutions is a trusted web design and development company specializing in modern, high-performance, and user-friendly digital solutions. Founded by Engineer Md. Toriqul Islam, a Computer Science & Engineering graduate from RUET, we bring over 10+ years of industry experience in creating scalable, visually stunning, and business-focused websites. Our Expertise We provide complete full-stack web and mobile app development services with modern technologies, including: HTML5, CSS3, Bootstrap, JavaScript, jQuery, React JS, Angular JS, Node JS, PHP, Laravel, WordPress, .NET, Python, Ruby on Rails, MySQL, MongoDB, React Native, and more. Why Choose Us? ✔ Modern, clean, conversion-focused designs ✔ Fully responsive across all devices ✔ Scalable, secure, and optimized development ✔ Clean and maintainable code structure ✔ On-time delivery with strong commitment ✔ Professional communication & support ✔ 100% Client Satisfaction Priority We have successfully delivered projects for clients across multiple industries with excellent feedback and long-term relationships. Let’s build something exceptional together. Contact us today to turn your ideas into reality. Best Regards Toriqul Global Solutions

@ZohaibRoy

⭐⭐⭐⭐⭐ Create an AI Skin Analysis Platform with Image Analysis and Decision Logic ❇️ Hi My Friend, I hope you're doing well. I've reviewed your project requirements and see you're looking for an expert in AI-based skin analysis. Look no further; Zohaib is here to help you! My team has successfully completed 50+ similar projects in AI and image analysis. I will build a simple prototype that connects image analysis results with rule-based recommendations. By using either a pre-trained model or an open-source solution, I will ensure a robust system that meets your needs. ➡️ Why Me? I can easily do your AI skin analysis project as I have 5 years of experience in computer vision, backend systems, and model integration. My expertise includes working with APIs and designing rule-based systems. Not only this, but I also have a strong grip on recommendation systems and combining AI outputs with structured decision logic. ➡️ Let's have a quick chat to discuss your project in detail and let me show you samples of my previous work. Looking forward to discussing this with you in chat. ➡️ Skills & Experience: ✅ Computer Vision ✅ Image Analysis ✅ Backend Development ✅ API Integration ✅ Model Deployment ✅ Rule-Based Logic ✅ Data Extraction ✅ Recommendation Systems ✅ Prototype Development ✅ Data Analysis ✅ Software Development ✅ Problem Solving Waiting for your response! Best Regards, Zohaib

@xuezhe315

Hi, As a seasoned software engineer with expertise in API, backend development, computer vision, and machine learning, I am well-versed in the skills necessary to tackle your project. My track record includes successfully leading multiple full-scale projects utilizing artificial intelligence, image processing, and ML technologies. This positions me ideally to construct and integrate the AI-basedskin analysis platform you seek, combining the logical decision-making engine with facial image analysis. Apart from my technical skillset, what sets me apart is my business-driven mindset. I consistently ensure that the technical solutions I offer are not just comprehensive but also translate into tangible benefits for my clients. With a clear understanding of your goal to generate structured, safe recommendations from questionnaire data and image analysis on skin attributes like acne and redness, I will diligently work towards constructing a system that produces meaningful outputs. My commitment to transparent communications and delivering scalable solutions that support millions of users without compromising performance are key qualities that make me an excellent fit for your long-term project.

@alizain721

I like that you’re prioritizing the decision engine over chasing perfect model scores — that’s where real product value and safety live. Probabilistic CV outputs are noisy; the key is a predictable mapping layer that normalizes confidences, applies thresholds and safety overrides, and produces explainable recommendations tied to questionnaire answers. I built a prototype for a skincare startup where I integrated a pre-trained CNN for facial lesion/texture attributes with a JSON-based rule engine to produce product and care recommendations — shipped as REST endpoints and a demo UI. My plan: wire an image-analysis source (quick start with a commercial API or a small open-source model), return attributes with confidence, normalize and threshold those values, feed them and questionnaire inputs into a lightweight JSON-logic engine with safety rules and explainability, then expose a simple API and test cases for the MVP. Quick question: do you prefer I start with a paid API for speed or a fully open-source model, and roughly how many questionnaire fields should the prototype handle?

@mickeysz

Hello, I’m an ML/full-stack developer with experience in computer vision pipelines and building rule-based decision systems on top of model outputs. I’ve worked on projects where image analysis (using pre-trained models/APIs like MediaPipe, OpenCV-based pipelines, or cloud vision services) feeds structured attributes into a backend decision engine that generates controlled, explainable recommendations. I’m comfortable focusing on the logic layer—designing rules, thresholds, and safety constraints—while keeping the model integration modular so it can be swapped later. Quick questions: do you already have defined rules/logic for recommendations, or should I help design that from scratch? Also, do you prefer starting with a third-party API for faster MVP or an open-source model for more control? I can build a clean prototype that connects image analysis → structured attributes → rule-based recommendations, ready to evolve into a production system. Best regards