A.R.I.E.L. uses natural language processing and machine learning to assist with test-related tasks, enhancing productivity and efficiency.
A.N.A. enables the creation of lifelike digital avatars with personalized appearance and behavior, revolutionizing virtual communication and self-expression.
A.N.A. will be launched in the second quarter of next year.
CSQADSS is designed for training and improving Cantonese language understanding and proficiency.
FERD analyzes facial expressions using computer vision to infer emotions.
Fruit Classifier use machine learning and computer vision to accurately classify fruits images.
L.K.O.A. combines sensors, cameras, and machine learning algorithms to ensure safe and autonomous driving, improving road safety and driver assistance features.
L.O.K.A. will be launched in the first quarter of next year.
MindCheck is an iOS platform built with SwiftUI for comprehensive mental health assessment and support.
NeuralMorse is a project that utilizes neural networks to translate text to Morse code and vice versa.
Image Classifier is a computer vision system that uses machine learning to accurately categorize images into different classes or categories by analyzing visual features and patterns.
Project V utilizes AI algorithms and data analysis to address environmental challenges and develop innovative solutions for the protection and preservation of the Earth.
ViDiAD analyzes distances and objects in real-time using computer vision, aiding donkey cars in safe navigation and obstacle avoidance.
ViDiAD will be launched in the first quarter of next year.
yujin_ive_lora generates pictures of Yujin, an idol of the K-pop group IVE, using LoRA models, which are small Stable Diffusion models that modify standard checkpoint models.
yujin_ive_lora V2 will be launched in the first quarter of next year.
Calculate the value of π using python