MACHINE LEARNING

Intrusion Detection System in Network Security

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Intrusion Detection System using Machine Learning Project Several supervised learning models were evaluated including KNearest Neighbors, Naive Bayes, Decision Tree, Random Forest, and Logistic Regression. The Random Forest model achieved the highest test accuracy of 99.45% in classifying network traffic by attack type. The most important input features were connection duration, service, source bytes etc. […]

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Intrusion Detection System using Machine Learning Project | CSE Projects for Final Year

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Intrusion Detection System in Network Security Network Intrusion Detection is an increasingly critical component of cybersecurity defense systems. With growing cyber threats, organizations need robust intrusion detection to identify anomalous traffic, block malicious attacks in real-time, and prevent security breaches. This report demonstrates applying machine learning techniques to classify network traffic data for accurate and

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AI Based Smart Exam Proctoring System | Interview Proctoring System using Python | Computer Vision

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Online Interview Proctoring System using Computer Vision The AI Interview Proctoring System with Neural Networks introduces a cutting-edge solution for remote interview monitoring. By integrating facial recognition and behavior analysis algorithms, the system ensures the integrity of online interviews. It can detect unusual behaviors, monitor eye movements, and verify the identity of the interviewee. This

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Fake Social Media Profile Detection using Machine Learning | Python IEEE Project 2024

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Fake Social Media Profile Detection using Machine Learning Fake Accounts poses a significant challenge in ensuring a secure and trustworthy online environment. This project aims to develop an effective system for detecting fake Instagram accounts using machine learning techniques. The dataset, generated from real social accounts, encompasses various features such as follower-following ratios, user biography

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Indian Sign Language Recognition using CNN | American Sign Language Recognition using Python

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Indian Sign Language Recognition using Machine Learning The Indian Sign Language (ISL) and American Sign Language (ASL) Recognition project utilizes neural networks to interpret and recognize sign language gestures. This application serves as a communication bridge for individuals with hearing impairments, converting sign language into text or speech. The neural networks understand and interpret the

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Medicinal Plant identification using Machine Learning | IEEE Projects for Computer Science

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Medicinal Plant Identification in Real-Time Using Deep Learning Model Medicinal Plant Identification through Image Processing, this project developed using Python Programming language and Tkinter is used for Graphical User Interface. this project contains large dataset of plants images and dataset is downloaded from kaggle. Model is trained on large dataset of images through machine learning.

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Currency Recognition System using Image Processing | Computer Vision Projects

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Indian Currency Recognition using Machine Learning This video is about Currency Recognition using Image Processing, this project trained on large dataset of Indian currency images that will be downloaded from roboflow website. dataset contains images of different different notes and their images and this dataset is labelled dataset because this dataset has boundary boxes it

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People Counting with YOLO | Crowd Counting using CNN

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Crowd Counting using YOLO This project is based on Real-Time people Counting System using Python. In this system user have to provide input video to machine learning model and model will count the total number of people counting inside and outside to building, we have to make one prediction border so that system will classify

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How to add Watermark Image to Original Image | Watermarking Images Automation in Python

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Watermarking images with OpenCV and Python In this video, we will show how to create watermarking images by OpenCV using Python. Watermark is the process to stick logo/text into the image. It is generally used by artist to protect the copyright of image. Watermark is the sign of owner of that particular image who printed

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Image Steganography Project using Python

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Steganography in Digital Image Processing Digital Image Steganography is a process of hide information within image in a secure and recoverable way. Spatial, Transform and Neural Networks methods are the three main methods of digital image steganography. Neural Network methods uses neural network to perform hiding text, while transform method hide information within frequency of

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