./projects

ls -la ~/work/featured

Selected projects focused on computer vision, AI systems, and practical automation.

+-------------------------+
|  CONSTRUCTION PIPELINE  |
|                         |
|  [ screenshot pending ] |
|         █████████       |
+-------------------------+

Intelligent Construction Progress Tracking Pipeline (Internship)

Built a computer-vision + multimodal pipeline that classifies site imagery and auto-generates progress narratives.

  • Stack: YOLO, Qwen2.5-VL, LLM pipeline
  • Outcome: Enabled structured, faster construction progress reporting from field images.
GitHub: coming soon Demo: coming soon 
+-------------------------+
|   SAFETY MONITORING     |
|                         |
|  [ screenshot pending ] |
|         █████████       |
+-------------------------+

Intelligent On-Site Safety Monitoring System (Internship)

Developed a detection workflow for critical safety violations in active construction environments.

  • Stack: YOLO11m, multi-dataset detection pipeline
  • Outcome: Monitored safety harness, smoking, crane, and fence violations for on-site safety checks.
GitHub: coming soon Demo: coming soon 
+-------------------------+
|   VOICE AGENT / UML     |
|                         |
|  [ screenshot pending ] |
|         █████████       |
+-------------------------+

Real-Time Local AI Voice Agent / Multi-Agent UML Generator (Personal)

Built a locally-hosted real-time voice agent and a multi-agent system that converts software requirements into UML outputs.

  • Stack: Local speech recognition pipeline, LLM-based multi-agent orchestration
  • Outcome: Improved rapid ideation and requirement-to-design translation workflows.
GitHub: coming soon Demo: coming soon 
+-------------------------+
|   FACE ATTENDANCE       |
|                         |
|  [ screenshot pending ] |
|         █████████       |
+-------------------------+

Real-Time Face Attendance System (Personal)

Face recognition-based attendance system for real-time identification and logging.

  • Stack: Face detection + recognition pipeline, real-time video processing
  • Outcome: Automated attendance logging with real-time identification.
GitHub: coming soon Demo: coming soon

Want a detailed look? Each card links to its own case study below, or reach out if you’d like a walkthrough.