Prioritizing expecting mothers

API wrapper for the trace.moe API written in TypeScript.

VisionFlow is a backend application for image recognition and notification systems, built with Flask, PostgreSQL, Redis, and Docker. It supports multi-camera setups, real-time image processing, and provides APIs for user authentication, camera management, and notifications via LINE and email.

Python wrapper for Vuforia Web Services (VWS) API

Detects if a scanned document is upside down

This project is a Computer Vision implementation of general hierarchical pattern discovery principles introduced in README

Project Based Learning App for Semester 5 of Informatics. Presience is an app that helps college student to do attendance used face recognition.

A lightweight library for seamless integration with the OpenAI API in PHP.

Kibernikto is an app to easily run telegram bots connected to AI models.

The Sign Language MNIST dataset is a challenging, real-world-inspired drop-in replacement for the classic MNIST. It consists of grayscale images (28x28 pixels) of American Sign Language hand gestures representing 24 alphabetic letters (excluding J and Z, which require motion).

Convert DAW piano roll screenshots into MIDI files using AI-powered image recognition

A skin cancer detection tool which uses a convolutional neural network trained on 20K images officially annotated by healthcare pros and a Flask RESTful API with PostgreSQL as a backend. Frontend to be added soon...

Image-text upload interface to utilise RAG for pill identification

The HoloLab DNN Packages providing image recognition library using deep learning running on the Unity. This packages is implemented based on Unity Sentis.

Lumbar spine degenerative detection and classification on MRI scans via computer vision models. Solution to Kaggle challenge RSNA 2024 Lumbar Spine Degenerative Classification.

A neural network lib in C++20 optimized for CPU. Create, train and use a neural network in less than 10 lines of codes.

Detect loss at self-checkout by seamlessly connecting different sensor devices, including weight scale sensors, cameras, and RFIDs.

A treasure chest for visual classification and recognition powered by PaddlePaddle

A Repository of Project Based Learning Semester 5 from M. Kemal, Lalu Immarratul, M. Ariel, and Ratnasari