Contact person: Business Client

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Location: Biñan, Philippines

Budget: Recommended by industry experts

Time to start: As soon as possible

Project description:
"I’m racing against an eight-hour deadline to get an ESP32-CAM working alongside a water-quality pH sensor and need someone who can walk me through every critical step—from wiring to live dashboards—while weaving in just enough AI to turn raw readings into meaningful insights and alert notifications.

Here’s what I have and where I’m stuck:
• Hardware: ESP32-CAM, generic analog water pH probe basic ancillary components (level shifter, resistors, breadboard, jumpers).
• Skills: I’m equally comfortable flashing Arduino sketches or spinning up a quick Python stack, so I’m open to whichever path lets us move fastest.
• Goal: Stream camera and pH data in real time, log it, then surface AI-assisted recommendations (trend analysis plus automatic high/low alerts) on either a lightweight web dashboard or, if simpler, a mobile-friendly view.

What I need from you—right now:
1. Clear pin-out wiring diagram for the ESP32-CAM and pH probe (with voltage-divider, calibration tips, and OTA-safe power budgeting). Like if on the right path.
2. Guidance on library choices (e.g. ESP32Cam, WiFiClient, AsyncWebServer on the Arduino side, or MicroPython + uasyncio + OpenCV-lite alternatives).
3. A minimal AI layer: whether that’s TinyML, a pre-trained regression model, or even a clever rules engine, I just need rapid, resource-friendly logic that flags abnormal pH swings and plots basic trends.
4. Fast deployment of a web or mobile dashboard—ideally Node-RED, Flask, or a React-ESP32 hybrid—showing live video, numeric pH, timestamps, and colored alert badges.
5. Short, actionable snippets and commands I can copy-paste as we go so everything compiles, flashes, and runs within the remaining hours.
6. Or Gmail/SMS alert system.

If you’ve already solved something similar, even better—share working code fragments, schematic screenshots, or quick GitHub gists and help me tweak them for my setup. I’ll be online continuously, ready to test changes in real time and report back results so we can iterate quickly and hit functional status before the clock runs out.

Budget 15-20 dollars." (client-provided description)