Need AI expert.

@softsolution2000

With my expertise in PHP, Python, Software Architecture, Google App Engine, and Node.js, I am confident that I am the perfect match for the "Need AI expert" project. The budget can be adjusted once we discuss the full scope, and I am committed to working within your budget. I am eager to start and showcase my skills. Please review my 15-year-old profile to see my extensive experience. Let's discuss the job details and get started right away. I am ready to show my dedication to this project. Looking forward to hearing from you.

@n2rtechnologies

Hi there, I reviewed your requirements and this looks like something I can handle well. Automated marathon bib detection from video footage is a solid computer vision problem — I've built similar OCR and detection systems using Python and deep learning models. I have a couple of questions about your footage quality, bib format variations, and whether you need real-time processing or batch analysis. Let's chat through the specifics. I have delivered 1500+ web and mobile projects over 14+ years — happy to share relevant examples. Thanks, Hasan

@ZohaibRoy

⭐⭐⭐⭐⭐ Automate Marathon Bib Detection and Clip Delivery with Ease ❇️ Hi My Friend, I hope you are doing well. I just reviewed your project requirements and see you are looking for an automated solution for marathon bib detection and video clipping. You don't need to look any further; Zohaib is here to help you! My team has successfully completed 50+ similar projects in video processing and automation. I will create a system that detects bib numbers, generates clips, overlays logos, and sends them to runners via WhatsApp. ➡️ Why Me? I can easily build your end-to-end solution as I have 5 years of experience in video processing, machine learning, and database management. My expertise covers OCR technology, real-time video processing, and API integration. Moreover, I have a strong grip on relevant tools and technologies to ensure a smooth workflow. ➡️ Let's have a quick chat to discuss your project in detail. I'll also share samples of my previous work that demonstrate my capabilities. Looking forward to chatting with you! ➡️ Skills & Experience: ✅ OCR Technology ✅ Video Processing ✅ Machine Learning ✅ API Integration ✅ Database Management ✅ Real-Time Processing ✅ Python Programming ✅ OpenCV ✅ FFmpeg ✅ User Interface Design ✅ WhatsApp API ✅ Cloud Deployment Waiting for your response! Best Regards, Zohaib

@Friends4it

Hello, I have thoroughly reviewed your project requirements for an end-to-end marathon bib number detection and video clipping system with sponsor overlay and automated WhatsApp delivery. Your need for accurate OCR tuned for race conditions, synchronized input from two HD cameras, and near-real-time clip availability are well-noted. Leveraging my expertise in AI vision models, OpenCV, and TensorFlow, I will build a robust pipeline that selects the best camera angle, processes clips automatically with overlay, and integrates a WhatsApp messaging API connected to your database. I have built similar event video processing systems that included custom dashboards developed in Node.js for ease of use by non-technical admins. I propose deploying on a cloud VM with GPU support for real-time processing, aiming for 95%+ detection accuracy. Source code, admin guides, and a handover session will be delivered within 21 days. Could you share details about your current camera setup and preferred cloud provider? Could you share details about your current camera setup and preferred cloud provider? Sincerely, Muhammad

@corpmember29

Hello, I have 10+ years of experience in AI/ML, computer vision, and real-time media processing systems, including OCR, FFmpeg pipelines, and automation workflows. I propose a Python-based architecture using YOLOv8 (for bib detection) + OCR (EasyOCR/Tesseract fine-tuned) with OpenCV for frame processing. Dual camera streams will be synchronized, and the system will select the best angle based on confidence scoring. FFmpeg will handle clip extraction (pre/post buffering) and logo overlay. A backend (FastAPI/Node) will manage APIs, database (PostgreSQL/Firebase), and task queues for near real-time processing. For messaging, I will integrate WhatsApp Business API (or Twilio) to send compressed clips mapped via bib-to-phone records. A simple web dashboard (React) will allow control, monitoring, and manual actions. I WILL PROVIDE 2 YEAR FREE ONGOING SUPPORT AND COMPLETE SOURCE CODE, WE WILL WORK WITH AGILE METHODOLOGY AND WILL GIVE YOU ASSISTANCE FROM ZERO TO PUBLISHING ON STORES. I eagerly await your positive response. Thanks

@umer6316326

Hi, I’m writing this bid by myself and am confident in delivering a robust, end-to-end solution tailored for your marathon bib detection project. Having worked extensively with computer vision, OCR, and real-time video processing, I can develop a reliable system that handles multi-angle camera input, accurately recognizes bib numbers under various conditions, and automates clip creation and WhatsApp dispatch. I propose using a TensorFlow or PyTorch-based OCR model fine-tuned for your specific race bibs, combined with synchronized video feeds processed via OpenCV and FFmpeg for clip generation and overlay. Database integration will be seamless using Firebase or SQL to link bibs to phone numbers, alongside a straightforward browser-based admin dashboard for easy management. I will deliver a fully documented, cloud-deployed prototype within 30 days, including source code and a comprehensive user guide. I’m ready to discuss hardware specs and architecture to ensure smooth race-day operation. Which video formats and resolutions do your cameras output, and do you have any existing labeled data for bib number training? Best regards,

@iosifpeterfi

I'm Iosif Peterfi, 15+ years delivering practical, outcome-focused tech solutions that reduce risk and speed delivery. This is my speciality: turning multi-camera event footage into reliable, near-real-time clips with automated sponsor branding and a simple admin interface. You're looking for an end-to-end system that ingests two fixed HD cameras, performs bib number recognition with tuned OCR, selects the best angle or blends views, auto-generates clips that start a few seconds before the bib first appears and end a few seconds after the runner leaves the frame, overlays a logo, links detections to phone numbers in your database, and sends a compressed clip via WhatsApp or a future API, all managed by a browser-based dashboard for a non-technical volunteer. My approach focuses on delivering a dependable, fast workflow that reduces manual steps and ensures consistent sponsor branding. I'll provide a ready-to-run prototype on a cloud VM or local server, along with a clear source code base, installation script, and an admin guide. The system will include a lightweight database connector, simple access controls, and retry logic to handle edge cases. The dashboard will let you start/stop recording, monitor detection accuracy, resend or delete clips, upload/edit the bib-to-phone mapping, and swap the overlay logo. Expect a minimal risk footprint and straightforward handoff with documented steps.

@rbtech1984

Hello There!!! ★★★★ ( AI-powered marathon bib detection with automatic clip generation and WhatsApp delivery ) ★★★★ I understand you need a system that detects marathon bib numbers from dual cameras, generates individual clips with sponsor overlay, and sends low-res videos to runners via WhatsApp, all with a simple admin dashboard for non-technical volunteers. Accuracy, real-time processing, and easy management are key. ⚜ OCR/vision model for bib detection under varied lighting ⚜ Dual-camera ingest with best-angle selection ⚜ Auto clip generation with pre/post buffer ⚜ Logo overlay on each video ⚜ Database linkage to phone numbers ⚜ Automated WhatsApp dispatch of clips ⚜ Browser-based admin dashboard for monitoring and management I have built real-time video processing and computer vision systems using OpenCV, TensorFlow, and FFmpeg. I’ll deliver a cloud-ready, documented prototype with handover, ensuring smooth operation on race day. Excited to help bring your project live efficiently! Warm Regards, Farhin B.

@samarhabib

Greetings, I can build a full pipeline combining computer vision (custom-trained OCR for bib detection), dual-camera synchronization, and real-time video processing to generate clean participant clips with logo overlays. The system will link detections to your database and automate WhatsApp delivery via a scalable messaging API, with efficient compression and near real-time turnaround. Why work with me? ★ Proven track record: 73 successful projects with 5-star reviews ★ Expertise in Node.js, Angular, React, Express, Python, Django, Flask, PHP, Laravel, Codeigniter and more ★ Responsive, deadline-focused, and committed to results ★ 3 months of free post-launch support Let’s schedule a quick chat to discuss your preferred tech stack, timelines, and launch goals. I’m confident I can bring your vision to life. Best regards, Samar H.

@technologiesit

As a developer with over a decade of experience, I know that the internet can be an overwhelming place with so many options. I want to simplify your search for an AI expert by offering you all of the skills and expertise you need for this project in one package. Our team at Prajapati Technologies is more than just web developers, we have a wide range of skill sets including software development, which aligns perfectly with your project demands. Regarding the core requirements of your project, our expertise in machine learning and computer vision will enhance accurate OCR or vision model needed specifically for marathon race bib numbers in varied conditions. We can guarantee real-time or near-real-time processing providing clips available minutes after athletes cross the filming zone. Our proficiency in Node.js and PHP not only ensures automatic clip generations as specified but it will also allow us to design a synchronized ingest system from two fixed HD cameras while choosing the best angle for each runner and cleanest view using 'OpenCV, TensorFlow, PyTorch'.

@blackrockwise

Hi there, I like how you have outlined your project description with clear and detailed requirements. You need an end-to-end AI-driven solution to detect marathon bib numbers from two synchronized HD camera feeds, generate individual video clips with logo overlays, match bibs to phone numbers in a database, and deliver the clips via WhatsApp through a simple admin interface. This involves real-time OCR or vision models tailored for challenging conditions, video processing, and seamless integration with messaging platforms. With extensive experience in computer vision using OpenCV and TensorFlow, combined with backend development for cloud deployments, I can deliver a robust system that meets your needs. I will implement a custom-trained OCR model optimized for race bib numbers under varied lighting and motion, ensure synchronization between cameras to select or merge best angle videos, and automate clip cropping and logo overlay using FFmpeg. The database and admin dashboard will be intuitive, allowing non-technical users to manage runs smoothly. I will also provide thorough documentation, deployment scripts, and a live handover session. Let's discuss your preferred cloud platform and hardware specs to ensure smooth race-day operation. I look forward to helping you deliver an exceptional experience for runners and event staff.

@FizzaNadeemK

Hi, You need a real-time pipeline that detects bib numbers, generates clean clips from dual camera feeds, and automatically delivers them via WhatsApp. I’ll build a system using CV/OCR models with camera sync, FFmpeg-based clip generation, logo overlay, and a database-linked dispatch flow with messaging API integration. The admin dashboard will be simple and browser-based with controls for monitoring, retries, and data uploads for race-day ease. Do you prefer on-device GPU processing or a cloud-based setup for scalability and faster turnaround? I’m ready to start immediately and deliver a working prototype with full documentation and handover. Let’s build a reliable race-day solution. Best Regards, Fizza Nadeem K

@quan9824

With a 100% job completion rate and all projects delivered on time, I am committed to providing an end-to-end solution that not only meets but exceeds your expectations. My extensive skills in Web App Development, particularly with Node.js and Python Django, lend themselves perfectly to the task at hand. I specialize in AI systems, particularly in object detection and tracking using machine and deep learning as well as OCR techniques using OpenCV. I am confident I can build an accurate and reliable model dedicated to recognizing marathon bib numbers under various lighting conditions and motions. As the project requires real-time processing with automated clip generation, my experience in time series forecasting and prediction would be especially beneficial. I assure you of a simple yet efficient admin dashboard that even non-technical volunteers could navigate easily; easing responsibilities like monitoring, resending or deleting clips. Moreover, I prioritize documentation; you can expect comprehensive guides and clear source code with installation scripts. My aim for this project aligns completely with yours - to deliver a fully functioning system ready for race-day use on time. So let's not Waste time! Choose me for a seamless AI-powered solution for your marathon event!

@GameOfWords

As a versatile developer with expertise in API integration and software development, I am confident in my ability to provide an end-to-end, efficient and accurate solution to your unique marathon video challenge. My experience has equipped me with advanced skills in Python, Node.js and different proprietary and open-source technologies that align with the needs of your project. In regards to processing the footage, my knowledge of OpenCV, TensorFlow, PyTorch and FFmpeg positions me well to handle the OCR or vision model required for detecting marathon bib numbers under varied lighting and motion conditions. Drawing from past projects, I've built high-performance systems that display frame synchronization between multiple cameras, aiding effective decision-making regarding which angle to use or combing for the clearest view. Moreover, our efficient project structuring will ensure a simplified administrative dashboard that even non-technical volunteers can navigate. Given my understanding of sporting events and production environments, such a solution should align with your vision. In addition to delivering a fully functional prototype, source code and admin guide for operation you are guaranteed of an insightful Q&A handover session where all your post-delivery queries will be answered convincingly. Hire me today and let's make this marathon race day unforgettable!

@Solutionzhere

Hi, This is feasible, but only as a computer-vision workflow, not a simple OCR script. Bib recognition in race footage usually needs bib detection + digit recognition + tracking, and published work shows YOLO-style detectors plus OCR outperform generic OCR alone on race bibs under motion and real-world conditions. For your scope, the posted budget is too low for a true end-to-end race-day system with dual-camera sync, clip generation, dashboard, database matching, and WhatsApp delivery. A realistic phase-1 build is closer to $6,000–12,000 over 6–10 weeks, plus WhatsApp messaging costs, which are typically charged per message by country and category. We’d recommend a pilot with one camera pair, one event workflow, and post-race or near-real-time delivery first. One key question: do you already have sample race footage + bib-to-phone data for training and validation, or would phase 1 need to start from zero data?

@mayankinnovative

Hi, As per my understanding: You need a complete AI-driven pipeline to detect marathon bib numbers from dual-camera footage, generate participant clips, overlay branding, and automatically deliver videos via WhatsApp by mapping bibs to phone numbers—near real-time and easy to operate via a simple dashboard. Implementation approach: I will build a modular system using Python (OpenCV + PyTorch/TensorFlow OCR). Video streams will be ingested and synchronized, with best-angle selection based on detection confidence. A custom-trained OCR model will detect bib numbers under motion/lighting variations. FFmpeg will handle clip extraction (pre/post buffer) and logo overlay. Data will be mapped via a SQL/Firebase DB. For delivery, I’ll integrate WhatsApp Cloud API (or Twilio) for automated messaging. A lightweight web dashboard (React + Node/Python backend) will manage control, monitoring, and retries. System will support near real-time processing with queue-based architecture and robust logging. A few quick questions: 1. Expected number of runners per event? 2. Do you have sample footage for model tuning? 3. Preferred deployment: cloud GPU or local machine? 4. WhatsApp API preference (official vs third-party)?

@FaizalShaik80

Hello, hope you are well. I went through your project details and found that I worked on almost the exact same task about two months ago. I am an experienced and specialized freelancer with 6+ years of practical experience in PHP, Python and I’m able to complete and deliver this project promptly. Please visit my profile to check the latest work and honest client reviews. Connect in chat to discuss details and next steps. Warm regards.

@arslanshahid386

Hi there, I see you're looking for an end-to-end solution to automatically detect marathon bib numbers and create personalized clips for runners. I’d start by developing a robust OCR model tailored for the bib numbers, ensuring it performs well under different lighting and motion conditions. Using dual camera feeds, we can synchronize the video inputs and select the best angle for clarity. With 4+ years of experience in software development and API integration, I can create a streamlined process for clip generation and messaging via WhatsApp, along with a user-friendly admin dashboard for simple management by volunteers. One thing I’d like to clarify is how you envision handling the database connection—do you have a preferred method for managing updates and changes to the bib-to-phone number records? Best regards, Arslan Shahid

@techsty2014

Interesting project, I will build your marathon clip pipeline — a vision model for bib number detection from dual camera feeds, automatic per-runner clip generation with logo overlay, database matching to phone records, and WhatsApp dispatch of compressed clips. The admin dashboard will let volunteers start/stop recording, monitor accuracy, resend clips, and swap logos without technical knowledge. For bib detection under motion blur and varied lighting, I will use YOLOv8 for bib region detection paired with PaddleOCR for number extraction — this two-stage approach handles angled and partially obscured bibs far better than a single OCR pass on the full frame. Questions: 1) What resolution and frame rate are the two cameras capturing at? 2) How many runners will pass through the filming zone in a typical event — hundreds or thousands? Looking forward to talking through the details. Faizan