How I Built Production-Grade AI Systems While Still a Student
🚀 Hello, DEV Community! I'm Nader Al Shawki , a final-year AI Engineering student at Al-Razi University, Yemen. This is my first post here, and I'm ex…
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Image Reconstruction Using Deep Learning: A Complete Guide
A comprehensive guide covering history, techniques, datasets, algorithms, tools, real-world applications, and final year project ideas for image recon…
An AI Module Smaller Than a Smartphone Photo. Are We Underestimating the Computer We Carry Every Day?
The Idea and the Main Engineering Challenges Recently, I released a new offline AI feature for my Android application as a separate module. The entire…
QAT vs PTQ on our edge vision model: 6 months of A/B data
TL;DR: We ran post-training quantisation (PTQ) and quantisation-aware training (QAT) side by side on the same defect-classification model deployed on …
Stop retraining YOLO: a developer’s guide to zero-shot object detection with generative VLMs
If you have ever maintained a computer vision pipeline in a factory, warehouse, or construction site, you already know the drill. You spend weeks coll…
How We Built a Contactless Digital Signature App inside the Browser (No Servers, 100% Private)
Traditional digital signature platforms have two major issues: privacy and cost . To sign a document, you have to upload sensitive agreements to a thi…
How I Built a Drone-Based Crack Detection Pipeline on AWS
I needed to build a pipeline that takes drone footage of infrastructure (bridges, facades, roads), detects surface defects like cracks and corrosion, …
Why your diffusion model is slow at batch size 1 (and what actually helps)
TL;DR: Single-image diffusion inference is bottlenecked by kernel launch overhead and attention memory traffic, not raw FLOPs. torch.compile with mode…
Beyond the Basics: Offline Models, Custom Signs, and Production Scaling (Part 4)
Over the last three articles, we’ve walked through the creation of a real-time sign language translation system—from extracting body keypoints to trai…
Fine-tuning CLIP on a Niche Domain: How I Got +26pp Accuracy on Architectural Styles and What You Can Apply to Your Own Domain
Most fine-tuning write-ups end at "we got X% accuracy." This one walks through the four decisions before and after the training loop that actually mov…
🛰 Mission Drishti 📡: How GalaxEye Built the World’s 🌏 First OptoSAR Imaging Satellite 🛰
🛰️ Mission Drishti 📡: How GalaxEye Built the World’s 🌏 First OptoSAR Imaging Satellite 🛰️ The future of Earth 🌏 observation may not belong to cameras …
How CNNs Work — From Convolution Kernels to ResNet
CNNs changed computer vision because they stopped treating images like flat lists of numbers. An image has structure. Pixels near each other usually m…
I Replaced My $500 GPU with a $75 Raspberry Pi: How Gemma 4 Makes Computer Vision 10x Cheaper
This is a submission for the Gemma 4 Challenge: Write About Gemma 4 I Replaced My $500 GPU with a $75 Raspberry Pi: How Gemma 4 Makes Computer Vision …