π™½πšŽπš‘πš π™²πš˜πš–πš–πš’πš
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No guru stuffβ€”just sharing what I'm learning, what I'm building, and the lessons along the way. ✨
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Just wanted to share something that really opened my eyes to ML

Andrew Ng has a way of breaking things down that makes even complicated concepts feel clear and easy to understand.

If you’re thinking about diving into ML, definitely check this one out.

πŸ”— https://www.coursera.org/learn/machine-learning
πŸ”₯1
Forwarded from Soset Hub
መልካም αˆ°αŠ•α‰ α‰΅πŸ˜Š
❀1
Forwarded from Kidus's Chronicles
I built Haven to solve one of the big problems in the world, currently under development and patenting the product (there is a physical product) where women can wear anywhere. We are working with multiple organisations to make this freely available to every body, the reason we are even trying to patent it
Sometimes, when you feel too comfortable, pause and ask yourself: β€œIs something wrong?”
One thing I’m learning is that our habits don’t always show their consequences immediately.
Bad habits can feel good now but cost you later.

Good habits can feel uncomfortable now but reward you later.
So if you’re always choosing what feels easy, maybe it’s worth looking at where that choice is taking you.
The comfort you enjoy today might be the price you pay tomorrow.

And sometimes, the uncomfortable choice is exactly the one that helps you grow.

#Mindset

@next_commit
Forwarded from Alpha Labs
Soo, I run a scooter rental business. Every rental starts with checking the customer's Fayda ID and typing their details into our system by hand. Slow, and full of typos.

The proper fix is the Fayda API. We tried. The bureaucracy defeated us before we ever got a key.

Then I realized the card already carries everything: the QR on the back holds the holder's name, gender, FAN, date of birth, face photo, and NIDP's digital signature.

So I built the missing piece and open sourced it.

fayda-decoder turns that QR into clean JSON from a simple photo of the card. It even verifies NIDP's cryptographic signature, so printed fakes fail instantly.

100% on-device, browser or Node. Nothing is uploaded anywhere.

Reads blurry, dark, photos that normal QR scanners reject. Decodes in under 100 ms.
No API key, no approval process, no permission needed.

npm install fayda-decoder


πŸ‘‰ Live demo: https://fayda-decoder.alphalabshq.com

πŸ‘‰ GitHub: https://github.com/Alpha-Mintamir/fayda-decoder (star the repo ⭐️🫢)
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