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Arshia Keshvari

Arshia Keshvari

electroneuro

โš™๏ธ Engineer by discipline, builder by nature, I work across embedded systems, RF, robotics, and power electronics to bring smart hardware to life.
๐Ÿง  From circuit boards to embedded firmware, I design systems that work reliably and efficiently.
๐Ÿš€ Right now, Iโ€™m exploring where IoT meets AI, turning complex problems into clean, connected solutions.

6 Projects

5 Stars

TeslaNeuro
OverviewStarred
PCB Business Card V2

PCB Business Card V2

Change History from V1: -13.56MHz tuning -larger instruction font -put some stuff on the back #template I wanted to create a business card that has some functionality and shows off a bit of my portfolio IRL: -NFC to my flux page -here's the [instructables](https://www.instructables.com/PCB-Business-Card-With-NFC-Make-Yours-With-NFC-QR-/) -Put a bunch of modules on it Find the BoM [here](https://www.digikey.com/short/2db2vnmp)
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markwuflux

markwuflux

2 years ago

110 Forks

7 Comments

37 Stars

Biskuit AI

Biskuit AI

The Biskuit pendant is a WiFi/BLE Enabled wearable AI Diary which captures Images and sounds periodically and creates an audio visual timeline of your day so that you don't forget anything.
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collinsemasi

collinsemasi

&

emasicollins
bryan

a year ago

23 Forks

92 Comments

6 Stars

sEMG_DAQ

sEMG_DAQ

sEMG-DAQ is a wearable 6 channel data acquisition unit for capturing surface electromyographic (sEMG) signals from human arm muscles using SJ2-3593D jack connectors while conditioning, digitizing, processing and transmitting them as sEMG data to an external AI accelerated board through an SM12B-SRSS IDC connector where AI models are run for various applications including robotic control, muscle signals medical assessment and gesture recognition. The board leverages an INA125P instrumentation amplifier together with filter stages utilizing LM324QT op-amps for conditioning and an STM32G4A1VET6 microcontroller for the digitization, processing and data transmission of the signals. Since AI models can only be as good as the data, the design of such a DAQ is necessary to ensure clean, reliable and real-time data for AI applications requiring sEMG data. The board also has USB-FS and JTAG to cater for debugging. The power (5V) is fed through a screw terminal and is regulated by two LDK320AM LDO regulators to offer 5V, 3.3V and 1.8V to meet the requirements of various components on the board.
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moshtey

moshtey

2 years ago

5 Forks

39 Comments

4 Stars

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