Facial Recognition eKYC Platform

@manishashree12

Hi there, I can build a secure facial eKYC verification platform with a responsive web flow, liveness detection, face matching, encrypted result logs, and API integration for mobile apps. The system can include camera capture, reference-image comparison, pass/fail results, role-based access, HTTPS, encrypted storage, Docker deployment, tests, and clear API documentation for Flutter, React Native, or native apps. I will keep the architecture modular so document verification and other biometric modules can be added later. Liveness or presentation-attack detection is essential to help prevent spoofing attempts using photos, videos, or other fake face inputs. [148][150] Could you please confirm whether you want to use an existing KYC/liveness provider or a custom AI model? Also, which country or compliance requirements should be considered for user data storage and retention? Thanks, Manisha

@CyberSasu

I’m Saswata Mukhopadhyay. I can help with Android app development, including UI, backend/API integration, database handling, testing, and bug fixing. I focus on building stable, user-friendly, and practical apps based on your requirements. Share your project details, and I’ll be happy to review them and suggest the best approach.

@netswaptech2811

Your first milestone is clear: a production-ready facial eKYC flow that can capture a face in the browser, perform liveness + face matching, return a fast pass/fail result, and securely record the verification outcome—while exposing the same engine to iOS and Android. I’d architect this as a modular verification service, keeping the biometric engine independent from the web UI and API layer. This allows future document KYC or additional biometric providers to be added without redesigning the core system. Proposed approach: • Responsive browser camera capture with permission handling • Active/passive liveness detection and reference-image matching • REST API with SDK-friendly contracts for React Native, Flutter and native apps • Encrypted verification-result storage with strict retention controls • HTTPS, RBAC, audit logging and secure API authentication Milestones: Architecture & biometric provider evaluation → Web/API POC → Security & performance hardening → Mobile integration layer → QA → Staging deployment. Two points I’d confirm: do you already have a preferred facial recognition/liveness provider, or should we evaluate options such as AWS/Azure/Google-compatible services? Also, will the reference image be supplied by your backend or captured during onboarding? Best regards, Swapnil Karma Founder & CEO, NetSwap Technologies

@Vinay7758

I can build the first eKYC milestone as a focused facial-verification platform with the same verification engine reusable across web and mobile. I’d recommend React for the web interface and a Python/FastAPI backend for the verification API, with Docker, PostgreSQL and encrypted storage. The architecture will keep liveness, face matching and future document/biometric modules separated so additional verification methods can be added later. I’ll handle: • Browser camera capture and liveness verification • Reference-image face matching • Instant pass/fail response • Secure encrypted result storage • REST API for Flutter, React Native and native apps • RBAC, HTTPS and GDPR-oriented retention controls • Unit/integration tests • Docker deployment and basic CI/CD • Responsive staging interface and deployment documentation I’ll also design the API so mobile applications use the same verification workflow rather than maintaining separate implementations. Timeline: 3–4 weeks for the first production-ready milestone, depending on the chosen facial-recognition/liveness engine. I can start immediately and provide a staging demo before production deployment. Best regards Vinay Khatri

@rajeshrolen

Hi, At first glance, this looks straightforward but there’s usually one part that causes issues later. Happy to share a quick plan if you're open to it. Regards, Rajesh

@tamannarajput18

Hi, I’d be happy to build your eKYC facial verification solution. I have experience building secure, scalable web and mobile applications and can develop the complete flow from camera access and liveness detection to face matching and instant pass/fail results. I’ll provide: Responsive web facial verification interface Secure REST API for iOS, Android, React Native, and Flutter Liveness and face-matching integration Encrypted result storage and role-based access GDPR-focused data retention and security Clean, modular code that can support document verification later Unit and integration tests Docker deployment and basic CI pipeline Build and deployment documentation Staging demo I’ll focus on performance, security, privacy, and a clean architecture so the solution is ready to scale beyond the first milestone. I’m ready to start once you provide the branding assets, reference images, and preferred deployment environment. Best regards, Tamanna

@prachia77

Hi, I can build the browser-based facial eKYC flow with the same verification logic exposed through a secure API for your React Native, Flutter or native mobile applications. I’d structure the solution around three core steps: camera capture, liveness detection and facial matching against the supplied reference image, returning a clear pass/fail result while securely logging the verification outcome. The API layer will allow the same verification service to be consumed by your mobile apps without duplicating the core logic. Security will be built into the architecture with HTTPS, encrypted storage, role-based access and configurable data-retention rules. I’ll also keep the verification engine modular so document verification or additional biometric methods can be added later without major refactoring. The deliverables will include the responsive web flow, documented API/SDK integration, unit tests, Docker-based deployment instructions, basic CI setup and a staging demo for validation. I’ll also test the flow under realistic network/device conditions to identify latency and reliability issues. For the facial matching and liveness component, do you already have a preferred AI provider/model, or would you like me to recommend the most suitable approach based on your accuracy, privacy and response-time requirements? Message me and we can discuss the architecture and MVP scope. Best Regards Prachi Webix Infotech

@MuhammadAkif8

Do you already have a preferred facial recognition and liveness provider, or should I recommend the verification approach based on your latency and GDPR requirements? The main challenge is achieving reliable liveness and face matching in under two seconds without compromising biometric privacy, especially when the same verification logic must work consistently across web and mobile clients. I would build a responsive browser verification flow with camera permission, liveness detection, reference image matching, instant pass or fail response, encrypted result storage, and secure APIs. The backend would expose documented REST APIs for React Native, Flutter, and native mobile clients, with role based access, HTTPS, GDPR aware retention controls, audit logging, unit tests, Docker deployment, and CI. I would structure the verification layer separately from the API and storage layers so document verification or additional biometric modules can be added later without major refactoring. I can also share relevant facial recognition, AI, API, mobile, and secure web application projects from my portfolio. Best regards, Akif U.

@shailender18

Hello, I can build your facial-verification eKYC MVP with liveness detection, reference-image matching and a secure pass/fail workflow, while keeping the architecture modular for future document and biometric modules. I have 5+ years of experience in PHP, JavaScript, API development, mobile integration, AI/ML systems and secure web applications. I’ll develop a responsive browser flow for camera permission, live capture, liveness validation and face matching, returning a fast verification result and securely logging the outcome. The verification engine will be exposed through documented REST APIs, with an SDK-ready structure for React Native, Flutter, iOS and Android integrations. Security will include HTTPS, encrypted result storage, RBAC, secure authentication, input validation and GDPR-conscious retention/deletion controls. I’ll optimize the processing pipeline for the requested sub-two-second target on 4G where infrastructure/model conditions permit. The codebase will use modular verification services so document verification or additional biometric providers can be added later without major refactoring. I’ll provide unit tests, Docker deployment configuration, basic CI, staging deployment, API documentation and complete source-code handover. Best Regards, Shailender

@robertn248

As a seasoned full-stack developer with deep expertise in API and web development, I am confident that I am the best fit for your Facial Recognition eKYC Platform project. My experience spans across many of the technologies you require for this project, including working with browser-based flows, perfecting liveness checks, and integrating camera access. My rich background in React Native and Flutter will also allow me to create a well-documented REST / GraphQL API or SDK that minimizes overhead on your mobile applications. In terms of security and performance - two paramount elements for your project - I have significant experience building GDPR-compliant solutions with HTTPS everywhere protocol enabled. Additionally, my successful track record in achieving sub-two-second response times on 4G networks underscores that I can deliver the fast-turnaround system you need. Furthermore, I have a reputation for writing clean code and structuring projects in scalable ways to ensure seamless integration of new functionalities without major refactoring. This aligns perfectly with your requirement to allow easy incorporation of additional biometric modules like document uploads into the platform. I am excited to demonstrate my skills on this demanding project by not just meeting but exceeding all of your expectationscastHit",' polishing every detail from architecture to deployment. Let's turn this vision into reality together!

@priyanshuk879

Hi, this is a project I’d be interested in taking on. I can build the facial verification flow as a production-ready service with a responsive browser interface, camera access, liveness detection, face matching, and an immediate pass/fail response, while keeping the verification logic centralized so the same backend can be consumed by React Native, Flutter, iOS, or Android applications through a clean REST API. Security and privacy would be considered from the architecture level rather than added later, including HTTPS, encrypted result storage, role-based access, controlled data retention, secure API authentication, and audit logging. I can also structure the system in modular components so document verification or additional biometric methods can be introduced later without rebuilding the core verification flow. Along with the implementation, I’ll provide unit tests, Docker-based deployment instructions, CI setup, API documentation, and a staging environment for demonstration and QA. I’d also pay close attention to latency and image-processing efficiency to work toward the sub-two-second target on a typical 4G connection. I’m comfortable working across the web, backend/API, and mobile integration layers and can start by defining the verification architecture and milestone plan. Thanks!

@OnicoDigital

Hi, We can help with the first phase of the eKYC platform, covering browser-based facial verification, liveness checking, face matching and a secure API layer that can later be used by mobile applications. Before finalising the implementation, I’d first confirm whether you want the biometric layer built using a proven third-party verification provider or a custom computer-vision approach, as that will determine the architecture, compliance requirements and expected performance. The platform can then be structured so future modules such as document verification or additional biometric checks can be added without rebuilding the core system. Kind regards, Maximillion Onico Digital

@halaa020

The key here is making facial verification reliable without turning the system into a privacy or security risk. I’d build the first milestone as a modular eKYC service with a responsive web capture flow, liveness verification, face matching, encrypted result storage and a clean API that can later be called from Flutter, React Native or native mobile apps. I can handle: • browser camera capture • liveness checks • reference-image vs live-face matching • configurable confidence thresholds • pass/fail verification response • encrypted storage and retention controls • HTTPS, RBAC and audit logging • REST API/SDK-ready architecture • Docker deployment + basic CI pipeline • staging environment, tests and documentation I’d keep the biometric layer modular so document OCR or additional verification methods can be added later without rewriting the core system. For production accuracy, I’d first evaluate whether a proven liveness/face-verification provider or a self-hosted model is the better fit for your privacy, latency and budget requirements. Timeline: 8 days | Bid: ₹5,500 INR

@aarveth11

Hello I am experienced full stack developer. I have done many project like this. I read your requirements and I can easily do this project. I will share you work report on daily bases. This is actually something I do regularly and I think I could be a good fit. I will provide you 1 month free support on existing feature. With years of experience in the relevant field, I will ensure that the work is complete efficiently, on time and with high quality results. I would love the opportunity to further discuss your goals. Please feel free to connect. Thank you

@Ankurhardia34

Hello, I hope you’re doing well. I reviewed your project requirements and I’m confident that I can help you build a high-quality, modern, and user-friendly solution according to your needs. facial recognition eKYC platform I’m Ankur, a Full Stack Developer with 7+ years of experience in: • Custom Website Development • E-commerce Development • Mobile App Development • Flutter App Development • Android & iOS Applications • WordPress & PHP Development • UI/UX Design • Admin Panels & APIs I have successfully completed 500+ projects for startups, businesses, and individual clients worldwide. Why work with me? ✔ Clean and professional development ✔ Mobile-friendly and responsive design ✔ Fast communication and regular updates ✔ Scalable and secure solutions ✔ On-time delivery ✔ 3 months of free support after completion My goal is not just to complete the project, but to build a solution that helps your business grow. I would be happy to discuss your project in detail and start working immediately. Looking

@rishus630

Looking for a reliable software developer to build your website, web application, or custom software? I can develop modern, responsive, secure, and user-friendly software solutions tailored to your business requirements. What I can develop: ? Business & Corporate Websites ? Custom Web Applications ? Responsive Websites ? E-commerce Websites ? Admin Dashboards ? Login & Authentication Systems ? API Integration ?️ Database Management Systems ⚙️ Custom Business Software ? SaaS Applications ? Bug Fixing & Feature Development Why choose me? ✅ Clean & scalable code ✅ Modern UI/UX ✅ Mobile responsive ✅ Secure development ✅ Fast communication ✅ On-time delivery ✅ Post-delivery support

@KasunKVI

Hi, I can build this as a production-oriented facial eKYC platform rather than a basic demo. I’ll use a modular architecture where the same core verification service powers both the browser flow and mobile clients through a secure REST API. Face verification, liveness, authentication/RBAC, storage and API layers will remain decoupled, making future document verification or additional biometric modules easy to add. Key implementation: • Browser camera capture with permission handling and responsive UI • Liveness detection and live-to-reference face matching • Configurable confidence thresholds and instant pass/fail response • Encrypted verification-result storage with retention/deletion controls • HTTPS, secure authentication, RBAC and server-side validation • REST API with clear schemas for React Native, Flutter, iOS and Android • Dockerized deployment with environment-based configuration • Unit/integration tests and basic CI pipeline • Staging deployment with build and deployment documentation I can evaluate suitable facial recognition/liveness providers based on accuracy, latency, SDK/API support and privacy requirements, while keeping the provider behind a `VerificationProvider` interface so it can be replaced later without rewriting the application. I can deliver the initial implementation within 7 days for ₹7,000. Ready to start immediately.

@ReonVR

I recently helped a business develop a reliable mobile app that improved how they connected with their customers, and if you’re not happy, you don’t have to pay. I can help you create a production-ready eKYC solution that focuses on secure and efficient identity verification through facial recognition. Your emphasis on performance, security, and privacy aligns perfectly with my expertise. I will develop a responsive web interface that performs liveness checks and matches live captures seamlessly. Additionally, I’ll provide a well-documented API and SDK for easy integration into your mobile apps, ensuring minimal overhead. The codebase will be designed for future scalability, allowing for easy integration of additional biometric modules. Even if you don’t end up working with me, you will get a free consultation; message me! Regards, ReonVR.

@mansir031

Hello, I can help you build your Facial Recognition eKYC Platform with a clean, secure and scalable architecture. I’m a Flutter & Full Stack Developer experienced in Flutter, API integration, Firebase/Supabase, authentication, backend integration and mobile application development. I understand that this project requires more than just a UI—the verification flow needs to be reliable, secure and easy to integrate with mobile apps. My approach: Responsive browser-based camera verification flow Liveness detection and facial matching integration Secure REST API for Flutter, React Native and native mobile apps Encrypted storage of verification results Authentication and role-based access HTTPS-secured API communication Unit testing and clean code structure Docker-based deployment and basic CI setup Staging demo with documentation I’ll keep the facial verification logic modular, so document verification, OCR or additional biometric modules can be added later without rebuilding the entire system. For production reliability, I would integrate a suitable liveness/face-verification service or model rather than making unsupported claims about a custom AI model. I’m new on Freelancer, but I’m serious about delivering quality work, communicating clearly, and building a long-term relationship with the client. I can start immediately and would be happy to discuss the verification provider, API architecture and milestones before we begin. Thank you for considering my proposal.