MQTT Jobs

I have an ESP32 dev board on my bench and need it turned into a compact sensor hub. The entire focus is sensor integration—specifically motion & proximity plus light & sound. Some of the devices will be hard-wired to GPIO pins while others should connect wirelessly, so the firmware must handle both connection paths seamlessly. Here’s exactly what I need delivered: • Well-commented source code (Arduino-ESP32 or ESP-IDF) that polls each sensor, filters noise, and publishes readings over Serial and MQTT. • A clear wiring / pin-out diagram for the hard-wired sensors. • Configuration notes that let me pair or re-pair any wireless sensor modules. • A short README covering library installs, flash commands, and expected output. Acceptance criteri...

I am building an end-to-end IoT monitoring system and need help finishing three tightly-connected pieces: • A Python script on a Raspberry Pi that collects sensor readings and publishes them to an MQTT broker. • A Django micro-service that preprocesses those messages before handing them to a Laravel / MySQL backend, where devices and users are registered and authenticated. • A React Native mobile app that runs on both iOS and Android and subscribes to the same broker for real-time data display. The mobile front-end’s first milestone is a clean dashboard that streams temperature, humidity, device operational status and any other sensor readings the Pi sends. Data has to update instantly without manual refresh, using MQTT over websockets. Once that foundation ...

I’m looking for a developer who can deliver a complete web application that lets our team both monitor and control a fleet of industrial-grade IoT machines from any browser. Tech stack Front end: React (ideally with hooks and functional components) Back end: FastAPI (Python 3.11 preferred) Core objectives • Real-time status updates – live metrics pushed to the UI with WebSockets or a comparable streaming method. • Historical performance data – charts or tables that let supervisors review past readings over selectable time ranges. • Remote control – authenticated users must be able to trigger predefined commands (start, stop, reset, change set-points). Key deliverables 1. FastAPI service exposing REST endpoints and a WebSocket channel,...

I need a full-featured central monitoring application that talks seamlessly to Tuya-based panel alarm systems and Tuya cameras. The core requirements are: • Real-time alerts whenever a sensor, zone, or camera triggers • Live and archived video surveillance from all registered Tuya cameras • Continuous system-health monitoring so I can see device status, connectivity, and battery levels at a glance • Complete alarm-system arm, disarm, and event handling from the same dashboard The solution must run on a Windows server yet present everything through a clean, secure web interface that any modern browser can open—no thick desktop client. Please rely on Tuya’s official API/SDK (MQTT, HTTPS, WebRTC, etc.) so future firmware updates remain compatib...

I need an end-to-end system that automatically counts every passenger who enters or exits a bus and, at the same time, lets only authorised riders board through face recognition. The headcount must update live and stream to my security team’s server so they can monitor occupancy and verify that no unauthorised person is on board at any moment. Here is what matters to me: the facial verification must be fast enough to avoid boarding queues, the counting accuracy should stay above 98 %, and the data flow has to be truly real-time, not batch. If you already work with edge cameras or depth-sensing devices for people counting, please tell me how you will integrate them with your face-recognition engine and how you plan to push the feed straight to our internal server (REST API, MQTT, or ...

I need a complete software layer that bridges several home-automation IoT devices with a secure, scalable backend. The goal is to give end-users a seamless way to interact with their lights, switches, thermostats and similar gear from a single mobile or web app while the server handles all device communication, data flow and business logic behind the scenes. Core features I want working from day one: • Remote control via app – low-latency commands to each device, with acknowledgements coming back to the UI. • Automated routines – time- or sensor-driven rules that run even when the user’s phone is offline. • Real-time monitoring – live status dashboards plus historical logging for later analytics. You’re free to choose the stack, but MQTT...