IoT-Enabled Aquarium
Android app by PixelBoot. Tools · PixelBoot
- Store rating
- Unknown
- Store rating count
- Unknown
- Download price
- Free to download
- In-app purchases
- Not listed in captured metadata
- Version
- 4.4
- Listing last refreshed
- 2026-09-13
View the original store listing
Store description excerpt
🐟 Smart IoT Aquarium Management Take complete command of your aquatic environment with the ultimate companion app for your custom IoT-enabled fish tank. By bridging the gap between raw hardware, local edge AI, and real-time cloud data, this app transforms sensor telemetries into a modular, responsive ecosystem. 📊 Live Telemetry & Automated Sensor Streams • Real-Time Monitoring: Keep tabs on critical health metrics including Water Temperature, pH Levels, Conductivity (TDS), and Turbidity (Water Clarity). • Zero-Lag Syncing: Connect seamlessly to a Mosquitto MQTT broker for instantaneous data streaming directly from your hardware arrays. 📈 Historical Data Tracking & Visualisation • Interactive Metric Graphs: Track long-term aquatic shifts via dynamic timeline charts to prevent dangerous ecosystem crashes before they happen. • Granular Filters: Isolate metrics across time windows to pinpoint the exact moment a variable shifts. ⚙️ Remote Climate Control & Actuator Overrides • Dual Actuator Management: Safely trigger physical hardware straight from your phone. Turn on high-voltage AC water heaters or spin up low-voltage DC cooling fans. • Human-in-the-Loop Automation: Toggle autonomous system automation routines or instantly apply absolute manual overrides to save your ecosystem in emergencies. 🧠 Local AI Data Summary • Offline NPU Intelligence: Fully powered by an on-device, 4-bit quantized Gemma Large Language Model executing locally on your device's NPU for 100% private, cloud-free analytics. • Context-Aware Diagnostics: Select your target fish species and watch the AI evaluate live, real-time sensor metrics to give you instantaneous, specialized veterinary care recommendations. 🐠 Local Computer Vision Identification • On-Device Machine Learning: Use your camera to instantly classify and recognize unique fish species on the edge, seamlessly pairing visual identification with system data.
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