Building a Resume Review and Revise System with Generative AI and Flask

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The last two sessions of my live stream, Code Break, have been really interesting, at least to me anyway. I’ve been discussing generative AI with Google Gemini and building a relatively simple example while doing so – a resume review and revisement system. This started off pretty simply with a Python script and then iterated into a proper Flask app. I thought it would be fun to document the code here a bit and share it with those who couldn’t make the streams. If you would rather just watch the recordings, I’ve got them embedded at the bottom. Feel free to skip to that. Step One – The Script For my first iteration, I built a simple Python script that: Uploaded the... more →
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Links For You (2/8/25)

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In my last Links For You post, there was snow outside from a completely unusual snow storm down here in Louisiana. Two weeks later, my AC is running and I’m near back to wearing shorts again. Sigh. I’ve said it before and will say it again, I cannot wait to get out of the south. With those complaints out of the way, let’s get to the links! Python Tips As I’ve made it a mission this year to get Somewhat Good at Python, I’ve been keeping my eyes open for good Python tips and tutorials. I’ve subscribed to, and recommend, the Python Weekly newsletter, where I found this great video embedded below. ArjanCodes covers ten good tips for new Python developers, and I’m... more →
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Doing Evil Things with Generative AI and Recipes

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Let me preface this blog post with a very clear and direct message. Do not do what I did. This is a bad use of generative AI. This is pure silliness with no real practical value whatsoever. This is a really, really, bad idea. But it was fun as hell, so here goes. Last year I did two investigations into recipe parsing on the web. As we all know, most recipe sites go out of their way to make the actual recipe, you know, the thing you want to read, obfuscated and buried beneath a lot of stuff that is… well not the actual recipe. I first investigated JSON-LD and using that to parse web recipes into data: Scraping Recipes Using Node.js, Pipedream, and JSON-LD. This worked really well. I then... more →
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Automating Image Improvement with Cloudinary

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Earlier this year, no, wait, last year (time is kinda crazy), I wrote up the process of automating background removal using Adobe’s Firefly Services. This post described a Pipedream workflow that monitored a Dropbox folder and… On a new file detected, generated a readable link Passed it the Lightroom API to improve it Downloaded it to another Dropbox folder Today, I’m going to look at a similar workflow using Cloudinary. Unfortunately, Adobe’s Firefly Services still have no kind of free trial so it’s difficult for developers to test it out. Everything I’m showing today however can be done with a free Cloudinary account (and Pipedream as well). Let’s... more →
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Automating Media Asset Creation with Cloudinary’s GenAI Transformations

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I’ve been happily using Cloudinary on my blog for a few years now, but it’s been quite some time since I’ve blogged about them. For folks who don’t know, CLoudinary provides media APIs (image, video) that work via URLs. So for example, I can craft a Cloudinary URL that transforms a picture to resize it to a particular size. Or add text. Or compress it. Pretty much anything you can imagine doing with an image or a video, and probably a lot of things you can’t think of, are all possible, and literally enabled by crafting a particular URL. It’s shockingly powerful and easy at the same time. More recently, they announced a set of AI capabilities, including – Generative... more →
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Generative AI Images with Gemini and Imagen – an Introduction

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I’ve been waiting for this to launch for a few days now, and while technically this isn’t quite yet available in Gemini, only Vertex, it should be testable in Gemini in the very short term. You can now use Google’s APIs to generate really high quality images via their Imagen 3 technology. I’ve got a few blog posts planned that will demonstrate these features (and from what I’ve been told, even more powerful stuff is coming), but I thought I’d start off today with a simple short example. To begin, and remember this may not available just yet, take a look at the docs, Imagen 3 in the Gemini API. First, let’s consider the sample code, that I’m going... more →
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Using Generative AI to Help in Customer Service

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Ok, before I begin, let me be absolutely clear. I do not think AI can replace customer support. I do think it can supplement and help customer support however, and I’d like to share an example of what this could look like. Imagine your service has a customer service form or email address. Typically, you type in your question, send it off, and wait. But what if you could provide an AI generated answer immediately while the person waits? At worse it doesn’t help. At best, it could be exactly what they need and the request could be terminated saving everyone time. Let’s consider an example of this. Setting up the AI/RAG System Let’s start with the most complex part, the AI/RAG... more →
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Testing Cloudinary Image Enhancements

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Last week I took a look at Cloudinary GenAI transformations to demonstrate quickly creating different versions of media, including multiple sizes and text copy. While taking a look at other parts of the Cloudinary docs I discovered that they had not one, but four different ways to enhance images. These include: Generative restore Upscaling (reminds me of CSI) Enhance Improve Looking at this list, it may be difficult to differentiate one from the other, luckily they provide a nice tabular list with specifics and use cases. Today I want to shine a light on two of them – enhance and improve. From the docs, enhance is described as: "Enhances the overall appeal of images without altering... more →
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