Energy Optimization
AI balances demand across connected loads and schedules high-consumption devices with precision. Waste is identified early, before it becomes visible on the bill.
UNIVERSITY OF BAHRAIN · SENIOR PROJECT 2026

Intelligent energy optimization, predictive safety, occupancy awareness, and emergency response, powered by AI.
Capabilities
Seven intelligent systems working in unison.
AI balances demand across connected loads and schedules high-consumption devices with precision. Waste is identified early, before it becomes visible on the bill.
PIR-driven intelligence reads actual room presence instead of relying on fixed assumptions. Lighting and appliance behavior adapt only when the space is occupied.
Current sensing watches for abnormal load patterns in real time. Protective relay action can be triggered before stress becomes equipment damage.
Smoke, heat, and risk signals converge into one emergency logic layer. The system prioritizes decisive alerts and fast protective response.
A Python intelligence layer evaluates live sensor context and operating state. It recommends safe, efficient control actions with machine-level consistency.
Dashboard telemetry exposes energy use, room states, relay activity, and risk signals as they happen. Operators see the electrical environment without delay or guesswork.
Pattern detection identifies early warning behavior before it becomes a fault. Electrical safety shifts from reactive response to anticipatory control.
Architecture
A real-time intelligent pipeline from sensor to decision.
Technology
Showcase
Energy Mode Eco AI
Emergency Ready
Occupancy Detected
The Team

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