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English
$
USD
I will build ai sports video analytics with player tracking, ball tracking and stats
AI Engineer: LLM Agents, RAG, Document AI : Computer Vision and Video Analytics
I build AI systems that go into production, not demos
LLM and agent systems: RAG chatbots grounded in your own data, AI agents with tool calling that stop for human approval before anything irreversi...
Level 1
Has met certain performance criteria and shows strong potential in the marketplace.
About this Gig
Want to turn your game footage into data? I build AI sports video analytics that track players and the ball and turn raw video into stats you can use.
WHAT I CAN ANALYSE
- Player detection and tracking with IDs that hold through crossings
- Ball tracking, even for small, fast balls
- Court or pitch mapping: positions shown on a 2D top-down view
- Heatmaps, distance covered, possession and zone stats
- Events and actions: shots, goals, rallies, strikes
- Pose and technique analysis
WHAT YOU GET
- Annotated video with tracking overlays
- Stats export in CSV or JSON
- Clean source code and run instructions
- Optional dashboard or API (Premium)
WHY ME
I have built real sports systems, not demos: padel analytics with four-player tracking and a single-camera court map, ball trajectory recovery through occluded frames, beach volleyball tracking with pose estimation, futsal goal counting, basketball shot detection, golf-ball tracking and MMA action recognition.
STACK: YOLO, PyTorch, OpenCV, pose estimation, Docker.
Send me a short clip and tell me what you want measured. I will show you exactly what is possible before you order.
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Programming language:
Python
Tools:
Jupyter Notebook
•
OpenCV
•
CVAT
•
Colab
•
PyTorch
Frameworks:
Scikit-learn
•
PyTorch
•
Panda
My Portfolio
FAQ
Which sports do you work with?
Any sport — soccer, basketball, tennis, golf, cricket, combat sports and more. The approach adapts to your footage; send a clip and I'll confirm what's trackable.
What kind of footage do you need?
Standard video from a phone, broadcast, or fixed camera works for most cases. A steady, clear view gives the best tracking. Share a short clip and I'll tell you what to expect.
What stats or outputs can I get?
Player and ball tracking, heatmaps, movement paths, possession, counts and event stats, plus an annotated video and a data export (CSV/JSON) for your own tools.
Will it work on fast or small objects like a ball?
Yes — I've built tracking for fast, tiny objects including golf balls. I tune the model to your sport and footage, and share honest accuracy before scaling.
Can I get a live, automated system instead of a one-off analysis?
Absolutely. The Premium package delivers a deployable analytics system with an API and dashboard so you can run it on new footage yourself.
