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Welcome to the latest edition of the VoltJots newsletter, linking you to the very best electronics and IoT news, products, and projects.

Hope you enjoy! Until next week,

VoltJots

The Google Gemma project lets you create a fully offline language translator using a Raspberry Pi 5, USB mic, and speaker, turning spoken words into translated speech without needing internet or cloud services.

ESP-IDF programming for ESP32 introduces you to important ideas like typedef structures, pointers, FreeRTOS task management, event callbacks, and error handling, helping you move beyond the Arduino Core mindset.

Switching between decimal, binary, and hexadecimal is a routine task when working with microcontrollers, registers and bit fields. This converter makes those conversions quick when checking datasheets, debugging firmware, or interpreting values from a serial monitor. It’s particularly handy when a value needs to be understood in both human-readable decimal and hardware-friendly hexadecimal or binary.

Source: OctaCalc

This open-source project combines e-ink menus, a web app, and an AI camera to create a zero-touch order system that sorts kitchen tasks and updates menus via no-code tools, all using common IoT hardware.

By wiring the MQ4 sensor to an Arduino Nano or Uno, get real-time methane detection with visual and sound warnings using LEDs, a buzzer, and an OLED display.

The Microduck robot, spun off from Disney’s BDX droid, offers a playful, trainable platform for learning reinforcement learning. It’s got charming, wobbly movements and an open SDK, making it easy to tinker with, and it’s available for pre-order now. Check out the video here: https://youtu.be/RAtzEyGBGFU

This system uses a GSM module and a 433 MHz RF receiver to send calls and SMS alerts when a small transmitter button is pressed, helping elderly or bedridden patients to quickly reach pre-set contacts.

This project uses a small motor and an electrolytic capacitor to power a flashlight without batteries, with 3D printed parts that you can easily replace if needed.

This project uses industrial-grade SHT41 sensors with a Raspberry Pi Pico and a small OLED screen to track temperature, humidity, and heat index, complete with circuit diagrams and Arduino code.

This design combines an ESP32-based IndusBoard Coin, TalkiePCM, and a MAX98357A amplifier to generate speech offline. Text entered via Serial Monitor is converted into audio and amplified through I2S, enabling fully local voice output without internet access.

When you touch one lamp, it sends a signal over WiFi to light up its twin and open little doors revealing a diorama inside. The whole setup runs on Arduino Nano ESP32 with capacitive touch sensors and microservos, creating a real-time, interactive bond.

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