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J

So today, I was reading about a kid who got a custom prosthetic arm printed like really. Holly molly! People are printing prosthetics nowadays! That’s when I stumbled upon Curewith3D, and wow, 3D printing in healthcare is on another level.

Apparently, I found out that they’re not just 3d printing limbs. They actually use patient-specific scans (like CT/MRI data) and some DICOM files to design prosthetics that fit the person’s body perfectly. Every angle, curve, and dimension is matched to the individual. No more bulky or uncomfortable fits.

What’s wild is how fast and affordable the process is. Instead of traditional molds and weeks of waiting, Curewith3D can design, print, and deliver a customized prosthetic in a fraction of the time.

I didn’t know 3D printing services could be this life-changing, and it's happening right here in India. It really makes you wonder what else we’re going to be printing next.

Anyone else heard of this or know someone who’s used a 3D printed prosthetic? Would love to hear more.

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Hi makers

i have choosen project theme.

project title : Still Heard

“For the ones who stayed quiet but always cared.”

Still Heard is an interactive emotional companion built for those who’ve ever felt unheard, unseen, or silenced especially in professional or personal spaces.

looked for some option.
need to take the input from the user and we have two options
direct text from user
or
capturing emotion using sensors
i have read about Grove-GSR sensor
can we use that one?
Is there any better options ?

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Hi @rahuljeyaraj ,

Welcome to the MakerGram community forum, There are several capable development boards available right now for the application. I'm sharing the one we have at our MakerGram inventory,

For small models, I recommend using - XIAO ESP32-S3 Sense along with Edge Impulse platform to create the model, Here the processing is managed by the esp32 Core itself. It maybe feel slower if the mode it bit heavy.

next option for small models is Seeed Grove Vision v2 camera where all the processing will done in the inbuilt "Arm Cortex-M55 & Ethos-U55" and you can get the inference results via the I2C or UART from the board, later you can process with Arduino or any XIAO board itself.

If the model is moderate in size, better to go with Raspberry Pi and v2 or v3 camera and use the Edge Impulse models.

Currently, we have these board available.

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R

Hi everyone,

I’m planning a vision-based AI project where the AI model should run directly on the embedded board (not in the cloud). Based on the inference results, I want to trigger actions like controlling a light or playing a pre-recorded audio file through a speaker.

Could you please suggest which board or boards would be suitable for this kind of edge AI application? Also, does MakerGram stock such boards?

Thanks in advance for your help!

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