I will ai sports video analysis with player tracking and object detection

Nepal

I speak English, Nepali, Hindi

Computer Vision: YOLO, Object Tracking, Deep Learning, 3D Vision

As an ML Engineer, I build custom deep learning and computer vision solutions for complex problems. I use Python, PyTorch, and TensorFlow to deliver clean, optimized code. My expertise covers the full...
About this Gig

You have match footage. I turn it into structured visual intelligence.


I build AI-powered sports video analysis pipelines using YOLO and Deep Learning player detection, ball tracking, movement heatmaps, and event recognition. Built and shipped a full end-to-end padel match analysis system. Adaptable to football, basketball, cricket, tennis, and any other sport.


What you get:

  • Detected and tracked players with unique IDs across frames
  • Ball detection and trajectory visualization
  • Annotated output video showing all detections
  • Heatmaps of player movement and positioning
  • Event detection such as shots, rallies, and possessions
  • Clean documented code if requested


Sports I cover:

Padel, football, soccer, basketball, cricket, tennis, badminton


My stack:

YOLO11, YOLOv8, ByteTrack, OpenCV, MediaPipe, PyTorch


How it works:

  1. You send me your video clip and tell me what you need
  2. I confirm scope and start immediately
  3. You receive annotated video plus analytics within the agreed timeline

APIs:

Microsoft Computer Vision AI

Google Cloud Vision API

Expertise:

Image processing

Feature learning

Classification

Programming language:

Python

MATLAB

SQL

Colab

Tools:

Jupyter Notebook

OpenCV

TensorFlow

CVAT

Colab

Frameworks:

Scikit-learn

DeepPy

Keras

PyTorch

Panda

My Portfolio

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