Personalized Diet Recommendation System using Machine Learning Diet Recommendation Chabot, this project will takes input from user and based on user information it create a diet and tell us how much calorie user have to consume and what are the calorie consume from the specific diet so this is the main objective. In this project […]
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Diabetic Retinopathy Detection using CNN Welcome to our Diabetic Retinopathy Detector, a cutting-edge solution designed to empower individuals in the early detection of diabetic retinopathy. Simply upload your retinal image, and our advanced system, powered by ResNet technology, swiftly analyzes it, providing you with a percentage-based assessment of the likelihood of diabetic retinopathy. At the
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Intrusion Detection System using Machine Learning Exploratory data analysis was performed to understand the distribution of the label, protocol, service, duration and other features. This provided insights like common attacks and frequently used protocols/services. Bivariate analysis identified relationships between variables like associations between protocols and attack classes. The data was pre-processed by encoding categorical variables
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DDoS Attacks Classification by Machine learning Network intrusion detection is critical for protecting systems against cyber threats. This report presents a machine learning approach for classifying network traffic as normal or attack types using the NSL-KDD dataset. The data contains records of simulated network connections with 43 features and labels for normal or 24 attack
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Intrusion Detection System in Cyber Security Network intrusion detection is critical for protecting systems against cyber threats. This report presents a machine learning approach for classifying network traffic as normal or attack types using the NSL-KDD dataset. The data contains records of simulated network connections with 43 features and labels for normal or 24 attack
Desmoking and Person Detection using Machine Learning, In this video we will show project that will detect person along with desmoke that particular image. User can upload any image, video or it works on real time basis. Desmoking and Person Detection using Image Processing Software Requirements :- Hardware Requirement:- ☎️ Contact Us For More Queries:-
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Desmoking and Person Detection using Machine Learning Desmoking and Person Detection is an innovative project leveraging Python to enhance video clarity and detect individuals in obscured environments. Through advanced image processing techniques, the project focuses on eliminating smoke or haze from video footage or live camera feeds. By employing the You Only Look Once (YOLO)
Fake Image Classification using Image Processing Making a deepfake image sorter with Python is like creating a pretend brain for pictures. We use Python tools like TensorFlow or PyTorch to make a simple thinking pattern. First, we make up a bunch of fake pictures showing different things. Then, we teach our pretend brain by showing
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How to detect Deepfake Image using Image Processing Deepfake Detection System is designed to address the growing challenge of detecting AI-manipulated video content, commonly known as deepfakes. With the increasing prevalence of deepfakes in media, this system provides a reliable solution for ensuring the authenticity of videos and images. The detection process begins by extracting
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Conversion of Sign Language to Text and Speech using Machine Learning Techniques There are 1.5 billion people according to WHO (World Health Organization) who live with hearing loss so to address their ‘disabling’ hearing loss. The American Sign Language(ASL) is most popular languages used by deaf people to communicate with each other. There is constant
