DEEP LEARNING

Ocean Safety Prediction using Machine Learning | Flood Prediction using Machine Learning

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Detecting Natural Disasters with Keras and Deep Learning This video is about project called Ocean Safety Prediction using Machine Learning, This project will predict the severity of any particular location in sea, so that machine learning model will predict that location is safe or not for boat and it will gave output with google map […]

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Vehicle Over Speed Detection using OpenCV Python | Vehicle Counting using OpenCV

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

Vehicle Detection And Speed Tracking using OpenCV Python This project is about Vehicle Over Speed Detection and Extract Number from License Plate if they violates traffic rules. User have to upload any input video to software and this project will first detect the vehicle and simultaneously it will count the number of vehicle passing through

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Helmet Detection and License Plate Extraction Sent Alert Message

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

Helmet Detection and Number Plate Recognition using Deep Learning Helmet and License Plate Recognition using Machine Learning, this project will detect helmet and license plate detection and if person not wearing helmet then it will fetch number from the license plate and sent challan on registered mobile number. First user have to browse any input

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

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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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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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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

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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