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Diving into code: some of my technical blog posts 💡

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Solo founder of these recent projects 🚀


NuclAI | nuclai.co
Artificial intelligence for cancer and stem cell researchers.


Youtine | youtine.co
Develop self-discipline. Without using an app.


Konduct | konduct.co
Event incident reporting made easy.


StaffPing | staffping.com
Quickly fill call-offs and vacant shifts with artificial intelligence.


Wakingg | wakingg.com
Automated call for your important emails.


Daily Domain Ideas | dailydomainideas.com
Artificial intelligence generated daily domain ideas.


Big Ideah | bigideah.com
Evaluate your SaaS business idea.


Haylabs | haylabs.co
Keep track of your hay bale consumption.


Shades | shades-backend.herokuapp.com
Find your eye shape with artificial intelligence.

Norah's Projects

automate-logo-creation-in-figma icon automate-logo-creation-in-figma

If you're doing repetitive tasks such as creating logos for clients and yourself in Figma, you can automate the whole process with bots. Here's how.

codercruise-2019-shades icon codercruise-2019-shades

Train your own deep learning algorithm with Jupyter notebook and then predict on your newly trained model with a React frontend and a Python Flask backend

cpuinfo icon cpuinfo

CPU INFOrmation library (x86/x86-64/ARM/ARM64, Linux/Windows/Android/macOS/iOS)

docusaurus icon docusaurus

Easy to maintain open source documentation websites.

google-10000-english icon google-10000-english

This repo contains a list of the 10,000 most common English words in order of frequency, as determined by n-gram frequency analysis of the Google's Trillion Word Corpus.

pycaribbean-2019-shades icon pycaribbean-2019-shades

Train your own deep learning algorithm with Jupyter notebook and then predict on your newly trained model with a React frontend and a Python Flask backend

pycascades-2019-shades icon pycascades-2019-shades

Train your own deep learning algorithm with Jupyter notebook and then predict on your newly trained model with a React frontend and a Python Flask backend

pyconau-2018-shades icon pyconau-2018-shades

PyConAU 2018 code for talk "Guide to your own artificial intelligence application in 3 easy steps"

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