Live demo: https://docutracker.onrender.com
Status: WIL Prototype — DHA Digitization Hub
DocuTracker is a full stack workflow tracking system built for document dha digitization environment — task assignment, tracking staff performance, and providing AI-powered guidance where it matters most.
During my WIL at the DHA Digitization Hub, I observed that:
- Tasks move through multiple stages with no centralized tracking
- Errors were corrected through verbal interventions, not systems
- Managers had no visibility into staff performance or efficiency
- Accountability was difficult without structured progress data
DocuTracker brings structure to digitization workflows:
- Managers input tasks via a simple interface
- n8n automation assigns tasks based on:
- Staff availability
- Error rates
- Efficiency scores
- Staff receive assignments and update progress in real time
- Managers get a live dashboard with performance insights
- An AI assistant guides users through the system at every step
Result: Less manual overhead. More accountability. Smarter workflows.
- Task CRUD with real-time status updates
- Role-based access for managers and staff
- Automated task assignment via n8n workflows
- Efficiency & performance tracking (completion time, error rates)
- AI assistant (ChatGPT) for workflow guidance and support
- Notifications triggered on status changes
- Frontend: HTML, CSS, JavaScript, Bootstrap
- Backend: Node.js, Express.js
- Database: MySQL
- Automation: n8n, JavaScript & Python scripts
- AI / Chatbot: ChatGPT API
Manager → Task Input → Task Completion → Efficiency Metrics → Manager Dashboard
→ (Optional) AI Assistant
Decoupled layers for task logic, automation, AI, and performance tracking. Modular and extensible by design.
Prototype built during WIL — demonstrates workflow analysis, task automation, and AI integration in a real digitization environment. Not yet in production.
Lekoloane Nape Percy Computer Science Graduate