A collection of AI systems, web applications, internal tools, and experiments built by the Septaneuron team — from independent builds to live products.
Built across AI, software engineering & product development
Different problems call for different tools. Here's a look at systems and products developed across AI and software engineering.
AI / COMPUTER VISION
ResNet-50 and MTCNN flag deepfake video, then Grad-CAM shows exactly which region of the face drove the decision.
BUILT WITH
AI / Computer Vision
YOLOv8 detection, MobileNetV2 classification, and a Flask app that ties both models to a simple upload-and-see interface.
AI / COMPUTER VISION
A custom-trained YOLO model detects kidney stones, logs every scan, and hands back a PDF report — no manual review required.
OpenCV . SQLite . Face Recognition
View Case Study ↗GitHub ↗HTML5 . CSS3 . JavaScript . Bootstrap
Visit ↗React . Flask . PyTorch
View Case Study ↗GitHub ↗MetaAds . Facebook . Instagram . WhatsApp Campaign
View Case Study ↗YOLOv8 . Flask . PyTorch
View Case Study ↗GitHub ↗Wordpress . Woocommerce . PHP
Visit ↗YOLO . Flask . PyTorch
View Case Study ↗GitHub ↗MetaAds . Facebook . Instagram
View Case Study ↗n8n workflow . Automation . Google Sheets
View Case Study ↗GitHub ↗A couple of projects that have moved into working, accessible products.
LIVE PROJECT / 01
Wordpress · WooCommerce . PHP
Visit website ↗
LIVE PROJECT / 02
HTML . CSS . JavaScript . Bootstrap
Visit website ↗What needs to be solved?
Define the product and technical approach.
Develop, test, and iterate.
Improve, document, and prepare for real use.
Tell us what you’re trying to build and we’ll help turn the idea into something real.
