open-edge-platform/edge-ai-suites
Mar 2025 – Mar 2025
1 Month active
Languages Used
BashJSONJavaScriptPython
Technical Skills
AI Model DeploymentBash ScriptingData ProcessingNode-REDObject DetectionOpenVINO
kaiyitkx
PROFILE
Kaiyitkx
Kaix Yit Kok developed Smart Parking and Loitering Detection features for the open-edge-platform/edge-ai-suites repository, focusing on automated parking occupancy and vehicle analytics at the edge. He designed and implemented Node-RED flows to orchestrate data from object detection models, integrating outputs into parking and vehicle data pipelines. His work included creating a Bash installation script that sets up a Python virtual environment, downloads AI models, and configures the system for both use cases. Leveraging skills in Python, Bash scripting, and system integration, Kaix delivered a reproducible deployment process, demonstrating depth in end-to-end automation and edge AI model deployment workflows.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
36,672
Activity Months1
Your Network
2013 people
Work History
March 2025
1 Commits • 1 Features
Mar 1, 2025March 2025: Delivered Smart Parking and Loitering Detection capabilities in edge-ai-suites. Implemented Node-RED flows and an installation script, including Python virtual environment setup, model downloading, and configuration for both use cases. No major bugs reported this month. Business value: automated parking occupancy and vehicle analytics via an installable, reproducible deployment. Demonstrated skills in Node-RED orchestration, Python automation, and end-to-end integration.
1 Commits • 1 Features
Mar 1, 2025March 2025: Delivered Smart Parking and Loitering Detection capabilities in edge-ai-suites. Implemented Node-RED flows and an installation script, including Python virtual environment setup, model downloading, and configuration for both use cases. No major bugs reported this month. Business value: automated parking occupancy and vehicle analytics via an installable, reproducible deployment. Demonstrated skills in Node-RED orchestration, Python automation, and end-to-end integration.
March 2025
Activity
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage60.0%
Skills & Technologies
Programming Languages
BashJSONJavaScriptPython
Technical Skills
AI Model DeploymentBash ScriptingData ProcessingNode-REDObject DetectionOpenVINOPythonSystem Integration
Repositories Contributed To
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