AI / ML
◆ PROJECT WORLD
Drishti
AI Event Safety Platform
Intelligent event safety with live crowd monitoring, anomaly detection, and emergency dispatch — scalable for 5M+ attendees. AI heatmaps + Gemini analytics cut response time by 35%.
◆ WORLD
Watchtower of Inferno Vale
Live thermal feeds and AI alert beacons sweeping a million-strong valley.
▶ TILESET
Crowd Monitor
Live density tracking
Anomaly AI
TensorFlow + OpenCV
Emergency Dispatch
Instant routing
Heatmaps
Real-time pressure view
Gemini Analytics
GenAI insights layer
WebSocket Bus
Low-latency sync
Alert Engine
Tiered notifications
Replay Vault
Post-event review
▶ ASSETS
Ops Console
Unified command UI
Field Mobile App
Ground team checks
Camera Grid
Multi-feed intake
Risk Score
AI threat scoring
Incident Log
Audit timeline
Capacity Sim
5M+ attendee model
◆ MISSION BRIEF
PROBLEM
Large-scale events lack a unified, real-time view of crowd risk and dispatch needs.
SOLUTION
An AI-driven safety command center that fuses computer vision, crowd analytics, and live ops messaging.
OUTCOME
5M+ attendee scalability with 35% faster emergency response and richer post-event insights.
▶ KEY HIGHLIGHTS
- Built an AI-driven event safety platform with real-time crowd monitoring, anomaly detection, and emergency dispatch using MERN and WebSockets, scalable for 5M+ attendees.
- Integrated OpenAI/Gemini multimodal analytics with TensorFlow/OpenCV for live heatmaps and an agentic AI command center that auto-triages alerts, cutting response time by 35%.
▶ PROJECT STATS
5M+
SCALE
-35%
RESPONSE
Live AI
DETECTION
▶ TECH STACK
AI/MLMERN StackWebSocketsOpenCVGenAI
▶ VIEW CODE