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A national-grade railway operations command center combined with an AI safety multi-agent ecosystem.

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RailSuraksha AI (रेल-सुरक्षा)

National Railway Safety & Incident Intelligence Platform

Project Directory: d:\Games\Hckthons\RailSuraksha_AI Primary Design Specs: design.md Full Workflow & Chat History Summary: CHAT_HISTORY_AND_WORKFLOW_SUMMARY.md Official Innovation & Security Report: RailSuraksha_AI_Innovation_Security_Report.docx


🚀 Quick Start Guide

1. View Design Specifications

Open design.md to inspect the complete UI/UX tokens, component geometry, Mintlify layout discipline, and page-by-page specs.

2. Copy Gemini 3.1 Flash Prompt

Section 10 of design.md or Section 5 of CHAT_HISTORY_AND_WORKFLOW_SUMMARY.md contains the master prompt ready to paste into Gemini 3.1 Flash Create Mode or any AI frontend builder to instantly generate the Next.js web application.


🎨 Key Features & Architecture Summary

  1. Light-Blue Command Center Theme:

    • Canvas Base: #F0F6FC
    • Panels & Cards: #FFFFFF with #D0DFEE border
    • Primary Accent: #2B7FFF Signal Blue
    • Typography: Inter + JetBrains Mono
  2. 3 Core Operational Views:

    • View 1 (Overview): Railway Track Interlocking Diagram (circuits BLK-101, signals S-12/S-14, switches P-4A) + Triage Agent Queue.
    • View 2 (Loco-Cab View): Locomotive Forward Camera feed + Interactive 4-Agent Pipeline Canvas Animation ([APPLY BRAKING FORMULA]).
    • View 3 (Platform Gateway View): Platform Entrance CCTV (Pillar #1) + 5-Min Deterministic Hold & Dynamic ML Extension countdown timer.
  3. Deployment Modes & Auditor Logging:

    • Advisory Mode (Phase 1): Dispatcher Review & Manual Approval ([APPROVE ACTION]).
    • Autonomous Mode (Post-RDSO Cert): Instant auto-execution.
    • Explainable Decision Logs: Auditor & Maintenance Engineer compliance filing workspace.

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A national-grade railway operations command center combined with an AI safety multi-agent ecosystem.

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