Smart-Home IoT Media Caster: Adhan Caster Pro

Operations Dashboard
CONNECTING
Today's Prayer Status
Loading prayer data...
Cast pipeline: Trigger (T−5 min) → Encode (image+audio → MP4) → Discovery (find Google Nest) → Wait (until T0) → Pre-play (pause/mute TV) → Cast (stream to display). Latency = scheduled prayer time to playback start.
Success Rate
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Played + Recovered
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Streak
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Consecutive perfect days
Avg Latency
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Trigger to playback
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Recovery Rate
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Audit replay wins (not encode fallback)
7-Day Trend
Daily success rate (played + recovered). Latency is in KPIs above.
Monthly Heatmap
Latency Profiling
Cumulative trigger-to-playback latency by percentile (all events)
Recent Playback Events
Loading events...
System Health

Total Prayers Tracked

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Overall Uptime

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Data Since

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Avg Encoding

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Avg Discovery

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Last Upload

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AI Efficiency Index
10h
AI Development
8x Acceleration
80h
Manual Baseline
Saved 80 hours of specialized IoT engineering
Scheduling Logic Coverage
75%
ScheduleService + PrayerTimes API
Hardware I/O (Cast, ADB, mDNS): 30%
Overall incl. orchestration: 22%
Total Commits
182
Since Feb 2025
Codebase
8.1k
Lines of JavaScript
Microservices
10
Service Architecture
Tests
54
Across 12 suites · 100% pass
AI Agents
Antigravity
Google DeepMind · Feb–Apr 2026
Gemini 2.5 Flash · Primary orchestration
Gemini 2.5 Pro · Complex debugging
255k tokens · v1–v2 architecture
Cursor
Anthropic · Apr 2026–Present
Claude Sonnet 4 · Fast iteration & refactors
Claude Opus 4.6 · Architecture & deep debugging
245k tokens · v3 pipeline, Firestore sync & dashboard
System Health

Model Mix

Gemini 2.5 Flash/Pro + Claude Sonnet 4/Opus 4.6

Total Tokens

500k+

Stability Index

99.9% Uptime

Watchdogs Active

3 Multi-tier

Services

10 Microservices

Last Sync

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