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  “Agentic AI–Driven Predictive Maintenance Architecture with Orchestrated Multi-Agent Workflow”

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  Our Unique or key features

RoadIQ — Project Summary

Inspiration

• Automotive maintenance today is mostly reactive and occurs after breakdowns
  
• Leads to poor customer experience, unplanned downtime, and inefficient service centers
  
• Manufacturing teams lack timely feedback, causing recurring defects
  
• Inspired by the idea of vehicles predicting failures and acting autonomously
  
• Goal: build a secure, intelligent, end‑to‑end Agentic AI system
  

What We Learned

• Designing Agentic AI using a Master–Worker orchestration model
  
• Implementing Digital Twins for real‑time vehicle health monitoring
  
• Predictive maintenance using telematics and maintenance history
  
• RCA and CAPA analysis for manufacturing quality improvement
  
• UEBA for monitoring and securing autonomous agent behavior
  
• Voice‑first AI design for persuasive and human‑like interactions
  
• Importance of trust, explainability, and automation in AI systems
  

🛠️ How We Built the Project

• Web‑based Agentic AI platform with a closed‑loop lifecycle
  
• Each vehicle represented as a real‑time Digital Twin
  
• Continuous ingestion of sensor data such as vibration, temperature, and usage
  
• Master Agent orchestrates all workflows
  
• Data Analysis Agent monitors vehicle health continuously
  
• Diagnosis Agent predicts component failures and urgency
  
• Customer Engagement Agent explains issues using voice AI
  
• Scheduling Agent autonomously books service appointments
  
• Manufacturing Insights Agent performs RCA/CAPA analysis
  
• Voice AI as the primary customer interface with app notifications as support
  
• UEBA layer monitors agent interactions and prevents unauthorized actions
  
• Predictive risk scoring triggers proactive alerts and scheduling
  

Challenges Faced

• Coordinating multiple autonomous agents reliably
  
• Ensuring explainable AI decisions to build user trust
  
• Simulating realistic vehicle telematics and maintenance data
  
• Implementing non‑blocking real‑time voice interactions
  
• Defining normal vs anomalous behavior for UEBA detection
  

UEBA Security (User & Entity Behavior Analytics)

• Continuously monitors Master Agent and Worker Agents to establish behavior baselines
  
• Detects anomalies such as unauthorized access, role violations, and abnormal workflows
  
• Automatically flags or blocks suspicious actions to ensure secure and compliant operations
  

Geo‑Spatial Failure Prediction (Map Intelligence)

• Visualizes vehicle risk and failure hotspots using an interactive geo‑map
  
• Correlates vehicle location with sensor and environmental conditions
  
• Identifies region‑specific issues, such as higher engine and battery wear in colder regions due to frequent cold starts
  

Additional System Highlights

• Real‑time Digital Twin with predictive failure detection before breakdowns
  
• Voice‑based AI for clear, persuasive customer communication and engagement
  
• Autonomous scheduling with RCA/CAPA feedback loop to improve manufacturing quality
  

Outcome

• Enables proactive vehicle maintenance instead of reactive repairs
  
• Improves customer experience and vehicle uptime
  
• Optimizes service center utilization
  
• Feeds actionable insights back to manufacturing teams
  
• Demonstrates secure, autonomous, and intelligent aftersales operations
  
• RoadIQ acts as an autonomous intelligence layer for future mobility
  

Built With

• celery
• docker
• fastapi
• javascript
• lucide-react-(icons)-supabase-js-for-backend-connectivity-backend:-python-3.10+-with-fastapi-&-uvicorn-micro-agent-architecture-with-a-master-agent-scikit-learn-for-ml-models
• pandas-&-numpy-for-data-processing-websockets-for-real-time-updates
• postgresql)
• python
• python-frontend:-react
• pyttsx3-for-offline-voice-assistance-infrastructure:-supabase-(postgresql)-as-primary-database-redis-for-caching-&-messaging
• react
• react-leaflet-(maps)
• recharts-(graphs)
• redis
• redis-other:-docker
• responsive-ui-react-router-for-spa-navigation-framer-motion-(animations)
• rest-apis
• restapi
• scikit-learn
• scikit-learn-database/cloud:-supabase-(postgresql)
• supabase
• tailwind
• tailwind-css-backend:-fastapi
• uvicorn
• websockets