MACHINE LEARNING

Brain Stroke Detection using Machine Learning | Brain Disease Detection using Deep Learning

Hey there, welcome to our Blog, A brain stroke, also known as a cerebrovascular accident (CVA), is a medical condition that occurs when there is a disruption in the blood supply to the brain. This disruption can be caused by either a blockage (ischemic stroke) or a rupture (hemorrhagic stroke) of blood vessels in the […]

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Brain Stroke Classification using CNN | Brain Stroke Detection using Deep Learning

Stroke Prediction using Machine Learning The Brain stroke is a cardiovascular disease that occurs when the blood flow becomes abnormal in head region. main cause of this abnormality is disability or death. There are two types of dataset: Stroke and Normal. User have to gave input image and model will predict that person have stroke

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Real-Time Defected Bottle Identification using Image Processing | Machine Learning Projects

Real time Plastic Bottle Detection with Deep Learning Project Description:- In this project user can provide input video and it works on real-time as well, if user gave input then it will identify that bottle is defected or not. it also checks that bottle is available in that image or video. Similar it works for

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Book Recommendation System using Machine Learning | Collaborative Filtering Based Recommender

Book Recommender System using Machine Learning With the Machine Learning Model we develop a Book Recommendation System Project. When someone selling online, then some businesses have their recommendation system model attached with their website. However most of the websites are not integrated with recommender system. Businesses force them to  customers for purchase additional or irrelevant

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Hand Bone Joint Detection using Image Processing | Python Project Fracture Detection

Hand Bone Joint Detection using Image Processing Hand Bone Joint Detection, in this project user have to gave input image then model will detect DIP, PIP, MCP joints. Model will take input of sample x-ray of hand image then after detection it will identify bone and joints and identified it. This project is working on

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Bed Sores Stage Classification using Machine Learning | Image Processing Projects

Skin Disease Detection using Image Processing Bedsores Image Dataset is implemented as input. The dataset is taken from dataset repository. The input dataset is in the format .png, .jpg. we can extract the features from pre-processed image and then we can implement the deep learning algorithm such as Convolutional Neural Network For classify the disease

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Ayurvedic Recommendation System using Machine Learning | Medicine Recommendation System Project

Ayurvedic Medicine Recommendation System using Artificial Intelligence Ayurveda Recommendation System Project using Machine Learning, In this project user have to gave input symptoms and model will gave ayurvedic remedies according to symptoms. Many time you or someone needs doctors guidance or help on urgent basis but they are not available due to some reasons. And

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Audio to Sign Language Translator using Python | Sign Language to Text Conversion using Python CNN

Audio to Sign and Sign Language to Text Conversion using Python A Desktop based app designed and developed using python programming language. There are two main features of the project, firstly to convert audio to sign language and other to convert sign language to text. Its aim is to bridge the communication gap with deaf

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Face Emotion Recognition using Machine Learning | Speech Emotion Recognition using Python

Face Emotion Recognition using Image Processing In automobiles, safety is important factor and driver factor is most efficient for road safety and it found that 90% of road accident are due to driver fault. The driver emotion plays a important role in ensuring safety while driving. Thus detecting driver emotion could improve road accident. This

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Face Recognition based Attendance System using Python | Attendance System using Face Recognition

Face Recognition-Based Attendance System using Facenet and Neural Networks Hey there, welcome to our blog! Attendance management using face recognition is an automated system that tracks and records attendance by identifying individuals through their facial features. Enrolled individuals’ unique facial templates are stored in a database. During attendance marking, live images are captured and facial

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