Browse categories
Explore
Fiverr Pro
English
$
USD
I will build an ai sports analytics system with yolo and react dashboard
Sports Analytics Engineer Computer Vision, Pose Estimation, Tracking and AI
I'm a Sports Analytics & Computer Vision Engineer specializing in AI, Machine Learning, sports video analysis, player tracking, ball tracking, pose estimation, action recognition, and performance anal...
About this Gig
Welcome to Data Craver. We build custom Sports Analytics platforms, AI fitness apps, and biomechanics tracking systems. To succeed, you don't just need a raw AI script running in a terminalyou need a complete product. Synapse CV bridges the gap between deep learning networks and premium web development to deliver end-to-end analytics platforms.
WHAT WE BUILD:
- Multi-Object Tracking: Real-time tracking of players, balls, and equipment using custom YOLO frameworks.
- Pose Estimation: Accurate gait, posture, and joint-angle tracking via YOLO-Pose or MediaPipe.
- React Dashboard: Modern frontend UIs featuring real-time data streaming, interactive charts, and video playback tools.
- Full-Stack Architecture: High-performance Python backends processing video streams seamlessly with asynchronous API data flows to your frontend.
️ TECH STACK:
- AI & CV: Python, PyTorch, OpenCV, Ultralytics YOLO, MediaPipe
- Full-Stack: React, JavaScript/TypeScript, WebSockets, FastAPI
- Optimization: ONNX Runtime, TensorRT for low-latency deployment
Message us BEFORE placing an order to discuss your project!
FAQ
What if I don't have video footage or a dataset for my specific use case?
If no custom dataset exists, We will architect one. We leverage high-fidelity simulation environments to generate synthetic video data, extract frames from public domain sports repositories, or utilize programmatic web scraping to compile raw images.
How do you handle commercial licensing for the tracking models?
To protect your proprietary IP, we offer two structural paths. If your system requires Ultralytics frameworks, we assist with API isolation or compliance setup. Alternatively, we heavily specialize in deploying state-of-the-art vision transformers like RT-DETR and RF-DETR.
Why are RT-DETR and RF-DETR highly effective for real-time sports tracking?
Beyond their commercial-friendly Apache 2.0 licensing, these models are real-time End-to-End Object Detectors based on Vision Transformers. Because they process object queries globally, they completely eliminate the traditional Non-Maximum Suppression (NMS) bottleneck common in older frameworks.
Can this computer vision web system be deployed on low-power edge hardware?
Yes, absolutely. We ensure production-grade deployment by heavily optimizing our deep learning pipelines. We convert PyTorch weights into optimized ONNX Runtime configurations or compile them through NVIDIA TensorRT for low-latency, high-FPS execution.
