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Why Most AI Pilots Never Reach Production (And What Separates the Ones That Do)
Why promising AI pilots stall before production, and what successful teams do differently across data, workflows, ownership, and integration.
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AI engineering insights
How to Plan Your First AI/Tech Project (Without Wasting Time or Money)
A practical guide to planning AI projects that succeed — covering common pitfalls, MVP strategy, and the strategic groundwork most teams skip.
AI Forecasting Mistakes: The $10K AI Project That Almost Cost $40K
This post breaks down a common but costly mistake in AI forecasting: data leakage from random splitting — and shows how the right validation approach turned unreliable predictions into trusted business decisions.
Designing a Browser Extension using AI and Machine Learning; A Guide
A blog covering the basics of developing a chrome extension, as well as how to integrate one with the OpenAI API.
Object Detection using YOLO
Building on the OpenCV series, we turn to YOLO to detect any custom object class you want — walking through training the model and running detection end to end.
Building a Powerful Content Moderation Classifier with Scikit-Learn and LightGBM
Content moderation is a critical task for any online platform. The goal is to automatically identify and flag content that violates community guidelines, covering categories like hate speech, harassment, or self-harm.
Building a Recipe Assistant with AI
Imagine having a virtual assistant that understands user preferences, context, and queries with precision—providing relevant and tailored responses in seconds. This is the promise of an AI-powered chatbot, a tool designed to make interactions more intuitive, efficient, and personalized using OpenAI API and Retrieval-Augmented Generation (RAG) frameworks such as LangChain.
Face Detection with OpenCV
In this first blog of a new three part series in OpenCV, we will be covering face detection using OpenCV.
Pattern Recognition & Feature Extraction with OpenCV
In this sixth and final blog, we will cover some more common and powerful pattern recognition and feature extraction techniques.
From Edges to Objects: Detecting Shapes and Structures with OpenCV
This blog, though not the most complex, shows a variety of some of the most useful image manipulation techniques that are commonly used today, especially as it relates to edge detection and image pre-processing.
Mastering Thresholding and Image Segmentation
In this blog, we go over the most advanced techniques yet covered in this series. From simple thresholding to the watershed algorithm, we will cover all sorts of image segmenting techniques that have numerous applications in a variety of different fields.
Advanced Filtering & Blurring Techniques
In our third blog covering manipulation techniques in OpenCV we will be covering a few more advanced techniques, this time mainly relating to different types of blurring and filtering. All of these will prove to be exceptionally useful when it comes to machine learning training on their own merits, but like the last blog, they will also be pre-processing steps for other techniques down the line.
Fundamentals of Image Manipulation with OpenCV
OpenCV is the most common library for utilizing computer vision. In this first, we will be covering the foundational image manipulation techniques found within OpenCV that will both enable basic image manipulation, as well as serve as components of more advanced techniques that will be covered in later blogs within this series.
Pixel-Level Control: Brightness, Blending, and Bitwise Operations
In this second blog in the series, we will be covering some more advanced techniques for image manipulation that will build upon our existing repertoire of techniques learned in the previous blog. Some of the techniques we are going to cover will involve image brightness, contrast, and other useful manipulations that will prove to be very useful as their own techniques, but also as pre-processing steps for future techniques covered in the series.