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How to Detect Keylogger in your computer | How to Create Keylogger using Python

ARTIFICIAL INTELLIGENCE, DEEP LEARNING, MACHINE LEARNING /

Keylogger Detection Project using Python Tkinter Keyloggers are a prevalent threat that record users’ keystrokes to steal credentials and sensitive data. This paper presents a Python-based keylogger detection tool that scans running processes and checks them against indicators of compromise (IOCs). The detector integrates process inspection, signature matching, and automated remediation functions. A graphical user […]

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Hospital Management System Class 12 | Laboratory Management Software

DATABASE MANAGEMENT /

Laboratory Management System using Python In this blog, will show a hospital/laboratory management software developed using python programming language and tkinter is used to develop graphical user interface. all the data stored in sql database. user have to first register with personal details so it will store that person data in database. User have to

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Lane Detection for Self Driving Car Project | Self Driving Car Lane Detection using Python

ARTIFICIAL INTELLIGENCE, COMPUTER VISION, DEEP LEARNING, MACHINE LEARNING, OPENCV /

Lane Detection for Self Driving Car Project using Artificial Intelligence Self Driving Car is the innovation of Artificial Intelligence using deep learning algorithms. An Autonomous car can go everywhere where a traditional car can go and it gave experience of human driver. But it’s most essential to train model properly. Road Lane Detection requires to

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Inventory Management System Project using Python | Python Projects for Beginners

DATABASE MANAGEMENT /

Inventory Management System in Python with Source Code In this blog, will show project named Inventory Management System; User have to first register and then login with username and password. Initially user have to enter Product details like Product Name, Quantity and Price. It will store details in database and perform crud operation like search,

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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

ARTIFICIAL INTELLIGENCE, DATA SCIENCE, DEEP LEARNING, MACHINE LEARNING /

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

ARTIFICIAL INTELLIGENCE, COMPUTER VISION, DEEP LEARNING, IMAGE PROCESSING, MACHINE LEARNING, OPENCV /

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

DEEP LEARNING, IMAGE PROCESSING, MACHINE LEARNING, OPENCV /

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

ARTIFICIAL INTELLIGENCE, COMPUTER VISION, DEEP LEARNING, IMAGE PROCESSING, MACHINE LEARNING /

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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