Smart-Home IoT Media Caster: Adhan Caster

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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