AI-Powered NOSS Decision Support Platform
Budget: $750 – $1,500 USD
AI-Assisted NOSS Development & Monitoring System
(DACUM-Based | Regulator-Grade | Workflow-Driven)
Project Type
Web Application Development (Domain-Specific System)
Project Overview
We are building a domain-specific, regulator-grade web system to support the development, monitoring, and regulatory screening of National Occupational Skills Standards (NOSS) used in Malaysia.
This is NOT a chatbot or document editor.
This IS a controlled, audit-safe, AI-assisted workflow system designed around real NOSS processes.
The system must support multiple concurrent NOSS projects (15–20 at a time) and multiple user roles.
1. User Roles
1. Project Manager (PM)
o Portfolio monitoring across multiple NOSS
o Timeline, risk, and milestone tracking
2. Facilitator
o Leads OS/OAS, DACUM, CP development
o Manages panel engagement
3. Documentor
o Structured data entry only
o No formatting or content decision authority
4. Industry Panel
o Anonymous idea contribution (DACUM)
o Online review & approval
5. Researcher
o Screening & regulatory decision support
o Similarity analysis against MySPIKE
o Overlap, duplication & gap identification
o Evidence-based justification drafting
o Role can be assigned to selected officers or experts (e.g. JPK)
2. Core Features (MVP)
• Project Monitoring Dashboard (PM)
o Multi-project portfolio view
o Phase-based lifecycle tracking
o Early warning alerts
• OS & OAS Guided Builder
o Level determination enforced using official definitions
o Mandatory level justification
o MSIC draft (finalized later)
• Anonymous Digital DACUM (QR-Based)
o Panel scan QR, submit ideas via phone
o No login, anonymous submission
o Live DACUM board on main screen
o Zero re-typing
• AI Similarity & CU Basket Engine
o Compare DACUM with ~2000 NOSS (MySPIKE – public data)
o Suggest Adopted CU or New CU
o Confidence scoring
o Human approval required
• Competency Profile & PC Authoring Engine
o WA, WS, PC generation
o PC enforced as: Verb + Object + Qualifier
o Level integrity (L1–L5)
• Language & Quality Assurance
o Spelling & grammar detection
o Standard NOSS writing style enforcement
o Suggestions only (manual approval)
• Lifecycle-Based Workflow
1. Project Setup
2. Panel Assignment
3. OS & OAS
4. DACUM
5. AI Analysis (MySPIKE)
6. CP Draft
7. Panel Review
8. Finalization
9. JPTS Presentation
10. JTS Presentation
11. Ready for MySPIKE Submission
• MySPIKE Submission Preparation
o MySPIKE-ready structured data
o Paste-optimized submission pack
o Reduce manual key-in by 50–70%
3. AI Design Principles (IMPORTANT)
• Not a ChatGPT-style AI
• AI must be:
o Rule-based (format, level, PC structure)
o Embedding-based (DACUM ↔ NOSS similarity)
o Optional lightweight LLM (language suggestions only)
• All AI outputs require human confirmation
4. Tech Stack (Flexible)
• Frontend: React / Vue
• Backend: Node.js / Python
• AI: embeddings + rule-based validation
• Database: structured workflow & audit logs
• Export: DOCX & PDF
5. Ideal Freelancer
• Experienced in workflow-driven systems
• Comfortable with rule-based logic + AI
• Understands structured data & audit requirements
• Not suitable for chatbot-only or UI-only developers
6. Proposal Must Include
1. How you will implement anonymous DACUM → AI → CU matching
2. Experience with embeddings / rule-based systems
3. Estimated MVP timeline
Note
This project is led by a domain expert with 17+ years experience in national skills standard development.
Strict adherence to workflow and specifications is required.
(DACUM-Based | Regulator-Grade | Workflow-Driven)
Project Type
Web Application Development (Domain-Specific System)
Project Overview
We are building a domain-specific, regulator-grade web system to support the development, monitoring, and regulatory screening of National Occupational Skills Standards (NOSS) used in Malaysia.
This is NOT a chatbot or document editor.
This IS a controlled, audit-safe, AI-assisted workflow system designed around real NOSS processes.
The system must support multiple concurrent NOSS projects (15–20 at a time) and multiple user roles.
1. User Roles
1. Project Manager (PM)
o Portfolio monitoring across multiple NOSS
o Timeline, risk, and milestone tracking
2. Facilitator
o Leads OS/OAS, DACUM, CP development
o Manages panel engagement
3. Documentor
o Structured data entry only
o No formatting or content decision authority
4. Industry Panel
o Anonymous idea contribution (DACUM)
o Online review & approval
5. Researcher
o Screening & regulatory decision support
o Similarity analysis against MySPIKE
o Overlap, duplication & gap identification
o Evidence-based justification drafting
o Role can be assigned to selected officers or experts (e.g. JPK)
2. Core Features (MVP)
• Project Monitoring Dashboard (PM)
o Multi-project portfolio view
o Phase-based lifecycle tracking
o Early warning alerts
• OS & OAS Guided Builder
o Level determination enforced using official definitions
o Mandatory level justification
o MSIC draft (finalized later)
• Anonymous Digital DACUM (QR-Based)
o Panel scan QR, submit ideas via phone
o No login, anonymous submission
o Live DACUM board on main screen
o Zero re-typing
• AI Similarity & CU Basket Engine
o Compare DACUM with ~2000 NOSS (MySPIKE – public data)
o Suggest Adopted CU or New CU
o Confidence scoring
o Human approval required
• Competency Profile & PC Authoring Engine
o WA, WS, PC generation
o PC enforced as: Verb + Object + Qualifier
o Level integrity (L1–L5)
• Language & Quality Assurance
o Spelling & grammar detection
o Standard NOSS writing style enforcement
o Suggestions only (manual approval)
• Lifecycle-Based Workflow
1. Project Setup
2. Panel Assignment
3. OS & OAS
4. DACUM
5. AI Analysis (MySPIKE)
6. CP Draft
7. Panel Review
8. Finalization
9. JPTS Presentation
10. JTS Presentation
11. Ready for MySPIKE Submission
• MySPIKE Submission Preparation
o MySPIKE-ready structured data
o Paste-optimized submission pack
o Reduce manual key-in by 50–70%
3. AI Design Principles (IMPORTANT)
• Not a ChatGPT-style AI
• AI must be:
o Rule-based (format, level, PC structure)
o Embedding-based (DACUM ↔ NOSS similarity)
o Optional lightweight LLM (language suggestions only)
• All AI outputs require human confirmation
4. Tech Stack (Flexible)
• Frontend: React / Vue
• Backend: Node.js / Python
• AI: embeddings + rule-based validation
• Database: structured workflow & audit logs
• Export: DOCX & PDF
5. Ideal Freelancer
• Experienced in workflow-driven systems
• Comfortable with rule-based logic + AI
• Understands structured data & audit requirements
• Not suitable for chatbot-only or UI-only developers
6. Proposal Must Include
1. How you will implement anonymous DACUM → AI → CU matching
2. Experience with embeddings / rule-based systems
3. Estimated MVP timeline
Note
This project is led by a domain expert with 17+ years experience in national skills standard development.
Strict adherence to workflow and specifications is required.