A bunch of deep learning practice codes

Detects if the bone is fractured or not. Pre-processing includes Image Data generator, Training Data Augmentation, Testing Normalization and Data loading etc.

This code includes classification and detection tasks in Computer Vision, and semantic segmentation task will be added later.

Academic: Deep learning-based mobile app to accurately identify the presence and severity of cataracts, enabling early diagnosis and treatment.

Pre-trained Deep Learning models and demos (high quality and extremely fast)

Eestech Challange LC Trieste - Hackathon Project

A Computationally Efficient HybridSN with Inception Model

VisageIQ: Your mask detection solution. Powered by machine learning with OpenCV and TensorFlow, it swiftly identifies mask presence. Prioritizing safety, it alerts users when masks are absent, promoting public health with precision.

AI Model classify waste into 4 categories:

This project focused on developing a model for recognizing hand gestures in sign language using deep learning. I collected Sign MNIST dataset and trains a convolutional neural network (CNN) model to classify sign language gestures.

PRODIGY INTERNSHIP - MACHINE LEARNING During my internship at Prodigy Infotech, I tackled diverse machine learning projects: House Price Prediction with linear regression. Customer Segmentation via K-means clustering. Cat vs Dog classification using SVM. Hand Gesture Recognition with CNNs. Food Recognition and calorie estimation from images.

hyper-sinh: An Accurate and Reliable Activation Function from Shallow to Deep Learning in TensorFlow, Keras, and PyTorch

Cette application utilise l'apprentissage automatique pour reconnaître et classifier les espèces de fleurs à partir d'images, fournissant des informations détaillées pour faciliter l'identification des plantes.

PlantPath is an advanced plant pathogen detection system leveraging deep learning techniques for early identification and precise classification of plant pathogens. By analyzing images of plant leaves, it empowers farmers with timely insights, minimizing crop damage and optimizing agricultural practices for sustainable farming.

This project provides the data of images of shoes with multiple categories and data is collected from a popular Ecommerce site.

pov

Multilayer Authenticity Identifier (MAI), a CNN model that attempts to identify synthetic AI images.

🌱 This project aims to automate plant health monitoring using computer vision and deep learning. It focuses on accurate disease detection and classification in plants through rigorous data preprocessing and robust model selection.