Worker access

SkillPath AI

⚙️ Connection Settings (Render Backend)

Enter your deployed Render backend link to connect this static frontend to your online MySQL database. Leave empty to use local server or offline fallback.

Tata Steel Jamshedpur L&D intelligence

SkillPath AI

Logged in worker -- Session not started

Leadership question

Which workforce capability risks can affect safety, quality, or uptime this month?

SkillPath turns fragmented training, assessment, supervisor, and expert knowledge signals into role-level actions for critical Tata Steel Jamshedpur shopfloor roles.

Capability risk -- weighted by safety, quality, and downtime exposure
Training precision -- recommended training linked to known skill gaps
Knowledge risk -- expert-dependent topics not yet captured

Worker dashboard

Training support and usage tracking for the current shift

Login time -- start of tracked worker session
Chatbot visits 0 times worker opened AI assistance
Questions asked 0 coach requests in current session
Last activity -- latest worker interaction tracked

Usage purpose

No purpose recorded.

Shift intelligence

Role risk changes by shift and operating context

Login to see shift-specific risk, handover focus, and learning guidance.

Closed-loop training

Question to learning to validation

No training loop data yet.

Worker activity database

No worker activity recorded yet.

Steel plant worker coach

Simple answer, role-specific action

Ask a question to see grounded guidance, a recommended learning item, and a supervisor follow-up.

Supervisor cockpit

Coaching priorities for the next two weeks

Generate a coaching plan to convert skill gaps into shift-level actions.

Evidence validation

Supervisor evidence before skill credit

Recent supervisor evidence

No supervisor evidence submitted yet.

Tacit knowledge capture

Turn expert know-how into reusable training assets

Expert dependency

Knowledge risk meter by role

Select a role, then generate an interview pack.

Business case

Pilot impact estimator

Industry readiness controls

  • Answers limited to approved SOP, training, and assessment content.
  • Low-confidence answers require supervisor review.
  • Skill recommendations include evidence, not only AI judgement.
  • Worker-facing language is short, simple, and action-oriented.

AI governance

Trust, auditability, and scale readiness

Safety escalation queue

Questions blocked or routed to review

No safety escalation items yet.

2026 enterprise differentiators

  • RAG-ready architecture with citations and source control.
  • Safety-sensitive questions move to human review instead of free-form advice.
  • Every AI answer can be audited by user role, source, confidence, and review status.
  • Feedback loop measures supervisor trust and improves the knowledge backlog.

Enterprise studio

Admin, learning, assessment, approvals, and multilingual mode

Document upload

Learning path

Assessment engine

Approval workflow

Role-based access

Multilingual shopfloor mode