Raspberry Pi Jobs

I want a Raspberry Pi HAT that accepts a single USB-C PD input and breaks it out into three or four downstream USB-C ports that carry both power and data. Each of the three outputs should be able to negotiate its own Power Delivery profile while maintaining a reliable high-speed data link to the Pi (think USB 3 where practical, at least USB 2 if trace lengths make higher speeds unfeasible). Physical limits are the standard HAT outline, with decent thermal relief so the board can handle a fully-loaded 100W input without throttling. I am open to component choices. The outputs range from 20V to 5V. The Pi should get power from the HAT on the I/O pins. Power over Ethernet as a power input would be great but it is not mandatory. If you can tuck in an PoE++ (60W, or even bt for 90W if poss...

I want to turn a standard RC chassis into a smart, self-aware toy that can do far more than just follow joystick commands. The end goal is a prototype car that: • Detects obstacles in real time • Plans an optimal path around them • Switches between full autonomous driving and classic “manual” mode on demand Everything should be directed from a single mobile app that works seamlessly on both iOS and Android. From that app I need to: 1. Watch a live video feed (low-latency) 2. Toggle between autonomous and manual modes 3. See a simple map of the car’s planned path and any detected hazards 4. Push OTA firmware updates when new AI models are trained Hardware is already on hand (Raspberry Pi 4, camera module, ultrasonic sensors, ESC, and an ESP...

I have an off-road RC platform that I want to turn into a fully autonomous vehicle. The goal is for the car to steer itself, manage throttle and braking, and handle lights/indicators without human input while still allowing me to take over with a transmitter when needed. Here’s what I need from you: • Hardware interface: integrate your preferred control board (Arduino, STM32, Raspberry Pi, or similar) with the existing ESC, steering servo, and LED system. • Software stack: write the embedded code and higher-level logic that handles path-planning, obstacle detection, and failsafe switching back to manual control. • Feature completion: automated steering, speed regulation, and programmable light sequences must all work reliably on rough terrain. Acceptance test 1...

Every morning my iPhone has to be woken, a six-digit PIN entered, a work app opened, credentials typed, several form fields completed and a digital signature placed. I want that entire routine removed from my hands by a small desktop robot. Core flow • Wake the phone from sleep by pressing the side button. • Physically tap the screen to enter the PIN code—no Bluetooth, Face ID or Touch ID, just precise mechanical interaction. • Launch the target app, wait for it to load, populate the login screen and navigate onward until the signature page is reached and signed. I imagine a compact gantry or articulated arm driven by servos or steppers, guided by a microcontroller (Arduino, Raspberry Pi, or similar). Because the touch targets are fixed, a predefined set of c...

I need help connecting all my smart devices to a Raspberry Pi using Homebridge, and integrating them with Apple HomeKit. Requirements: - Connect lights, thermostats, security cameras, and any other smart devices. - Ensure compatibility with iOS devices. - Setup should allow control via Apple Home app. Ideal Skills & Experience: - Experience with Raspberry Pi and Homebridge. - Familiarity with Apple HomeKit and iOS integration. - Knowledge of various smart home devices and their configurations.

I want to turn a Raspberry Pi running CODESYS into a reliable industrial automation node. Your job is to create the complete control application in MATLAB / Simulink using Stateflow, generate the code, import it into CODESYS and prove that it runs in real time on the Pi. The target is an industrial process (details and I/O list come once we start). I need a clean, well-structured Simulink + Stateflow model that covers the sequencing, safety interlocks and regulation logic, then produces compilable CODESYS code without manual patching. Please map the I/O to the Pi’s GPIO or any supported extension modules exactly as documented, and include watchdog handling so the plant fails safe. Deliverables • Simulink/Stateflow model (.slx) • Generated source and export settings ...

I need an image classification AI model to run on a Raspberry Pi 4. This model will detect whether individuals are wearing PPE kits in static images. The primary application will be in industrial sites. Key Requirements: - The model should accurately classify images as 'PPE' or 'No PPE'. - It needs to be optimized for performance on Raspberry Pi 4. - The input will be static images, not live feeds or videos. Ideal Skills and Experience: - Proficiency in AI and image classification techniques. - Experience with model optimization for edge devices, especially Raspberry Pi. - Background in developing AI solutions for industrial applications is a plus. - Ability to deliver a robust and efficient model within budget constraints.

I’m building a smart irrigation setup that links a Raspberry Pi edge server with several ESP32 nodes in the field. Each ESP32 gathers data from soil-moisture probes, compact weather boards (temperature, humidity, barometric pressure), and inline flow meters, then reports everything wirelessly to the Pi for processing. Here’s what I need from you: • Python (Raspberry Pi) and MicroPython/C++ (ESP32) code that ingests the raw sensor streams, pushes them through an on-device model, and decides—within seconds—whether to start or stop the main pump and which solenoid valves to open. • An ML pipeline: training notebooks, a lightweight model (TensorFlow Lite or similar) and the inference wrapper that runs locally. The model must act on current soil-moisture rea...

It is 2 stage project 'I have the source code available, i have the API dataset available. But definately need a NEW DNN training Dataset. simple UI . Total Project is 250 USD STAGE 1 - 100 USD STAGE 2 100 USD Deplyment, Testing and Document 50 USD STAGE 1 handles intelligence + cloud STAGE 2 handles device + communication + app STAGE- I Backend Engineer (Cloud + Data + API) Deep Neural Networks for classification (imbalanced datasets, SMOTE preferred) Python (TensorFlow/PyTorch) and model deployment via REST API Handling weather/time-series datasets Cloud hosting (Azure/AWS) and database management SMS gateway integration and push notification backend Secure API development and logging system Deliverable: Deployed ML model with working API endpoint and backend system. STAGE 2 &...

I need a concise Python 3 script that will run on a Raspberry Pi 5 and do the following: • Watch a single GPIO input line for the HIGH digital signal coming from my Sony camera’s built-in AI output. • As soon as that digital signal is detected, drive a separate GPIO output that energises a small 5 V solenoid for five seconds, then automatically switch it off. • Debounce or otherwise ignore any further triggers until the five-second period is complete. The camera only provides a digital signal, so no protocol parsing is required—plain HIGH/LOW logic on the GPIO pin is all I need. The trigger itself must use the Pi’s native GPIO header rather than USB or networking. I haven’t fixed the exact GPIO numbers yet; feel free to suggest sensible default...

The embedded system comprises 2 STM32 boards connected to their own 7 sensors, 1 motor, and 3 relays. Each is connected to a central Raspberry Pi 4 board. The RIGHT STM32 board also has a TFT ST7789 2inch display. The Raspberry Pi has its own 5-inch display (connected via HDMI) and is connected to a battery BMS via UART and controls the main ON/OFF switching of the exoskeleton system driven via a 48V 10A relay. The Raspberry Pi also controls the operation of a 5V air-pump via a relay able to deliver 1.5A. 1. Graphical user interface (GUI) developed for the STM32 to drive the ST7789 display. The detailed requirements for this GUI are presented in Figure 3. 2. GUI developed for the Raspberry Pi display. The detailed requirements for this GUI are the same as for STM32. 3. Software for...