SentinelAI is an AI-powered Industrial Safety Intelligence Platform currently under development as a hackathon project. The platform is being designed to help industries proactively identify, analyze, and mitigate workplace hazards using AI, data analytics, and real-time monitoring.
Industrial accidents often occur because safety systems work independently. Gas sensors, CCTV cameras, maintenance logs, permits, and worker activities are monitored separately, making it difficult to detect compound risks that develop across multiple systems.
SentinelAI addresses this challenge by providing a unified AI-powered platform capable of correlating multiple safety signals and generating actionable insights.
- AI-powered Industrial Safety Dashboard
- Compound Risk Detection
- Digital Twin Visualization
- AI Agent Monitoring
- Knowledge Graph
- Incident Intelligence
- CCTV Analytics Dashboard
- Permit Intelligence
- Predictive Maintenance
- Emergency Response Dashboard
- Compliance Monitoring
- Live Command Center
- RAG AI Safety Assistant
- Analytics & Risk Visualization
- React
- TypeScript
- Vite
- Tailwind CSS
- Shadcn UI
- Recharts
- FastAPI
- PostgreSQL
- Redis
- SQLAlchemy
- Alembic
- Retrieval Augmented Generation (RAG)
- Knowledge Graph
- Multi-Agent Architecture
- Risk Prediction Engine
- Manufacturing
- Oil & Gas
- Chemical Plants
- Pharmaceutical Industries
- Mining
- Warehouses
- Steel Plants
- Smart Factories
- SDG 3 – Good Health & Well-being
- SDG 8 – Decent Work & Economic Growth
- SDG 9 – Industry, Innovation & Infrastructure
- SDG 11 – Sustainable Cities & Communities
- SDG 12 – Responsible Consumption & Production
SentinelAI is currently under active development. The frontend UI, system architecture, and core backend structure are being built as part of a hackathon project. Several industrial datasets used during development are simulated to demonstrate the intended workflow. Additional AI capabilities and integrations will be implemented in future iterations.
Hackathon Project
MIT License