You will get a real-time YOLOv8-based person detection and tracking system
Project details
Build a complete real-time person detection and pose estimation system using YOLOv8, Deep SORT, and MediaPipe.
This system detects and tracks multiple people in a video with unique IDs, overlays pose stickman skeletons, triangle markers on heads, and includes a GUI to toggle features on/off (bounding boxes, poses, markers).
Perfect for AI research, surveillance, behavior monitoring, or sports analysis. Clean Python code, fast performance, and ready-to-run!
This system detects and tracks multiple people in a video with unique IDs, overlays pose stickman skeletons, triangle markers on heads, and includes a GUI to toggle features on/off (bounding boxes, poses, markers).
Perfect for AI research, surveillance, behavior monitoring, or sports analysis. Clean Python code, fast performance, and ready-to-run!
AI Development Type
Deep Learning, Model TuningAI Tools
Keras, OpenCV, PyTorch, TensorFlowAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$30
|
Standard
$75
|
Advanced
$120
|
|---|---|---|---|
| Delivery Time | 2 days | 3 days | 5 days |
Number of Revisions | 1 | 2 | 3 |
AI Model Integration | - | ||
Detailed Code Comments | - | ||
Knowledge Graph | - | - | - |
Model Documentation | - | ||
Ontology | - | - | - |
Source Code | - | - | |
Taxonomy | - | - | - |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$5 - $10About Raja
AI Engineer | Computer Vision | Real-Time Detection | YOLO | Python
Islamabad, Pakistan - 5:52 am local time
I hold a Bachelor’s degree in Computer Engineering, with a strong focus on AI and embedded systems during my studies.
🔬 My Final Year Project (FYP) focused on an AI-based fire, smoke, spark, and flame detection system, using deep learning and OpenCV to build a real-time safety monitoring solution.
🧪 During my internship at KRL (Kahuta Research Laboratories), I worked on a specialized project: Pirani gauge calibration using machine learning techniques — gaining hands-on experience in applying ML to industrial instrumentation and sensor data optimization.
🔧 In addition to AI-focused work, I offer a wide range of tech support services:
📊 Data cleaning & preprocessing (NumPy, Pandas)
🖼️ Annotation & labeling for vision projects (Roboflow, CVAT)
🧹 File management, automation, and Python scripting
🌐 Web tools: Streamlit dashboards, Flask APIs, HTML/CSS edits
✍️ Technical writing & AI documentation/blogs
💡 My work is clean, well-documented, and performance-focused. Whether you need a YOLO-based detection system, custom ML/data pipeline, automation tool, or AI-focused content, I'm here to deliver high-quality results — fast and reliably.
Steps for completing your project
After purchasing the project, send requirements so Raja can start the project.
Delivery time starts when Raja receives requirements from you.
Raja works on your project following the steps below.
Revisions may occur after the delivery date.
Receive Your Input
After purchase, I’ll review your requirements and input file (video or image). If none provided, I’ll use a sample video.