Object Detection using Yolov7 Algorithm | AI Jarvis using Python In this project, we have integrated two machine learning projects named Jarvis Ai Voice Assistant and Object Detection using Yolov7. Firstly in Jarvis AI user have to provide input through voice command and Jarvis follow the instruction of user and gave output in text and
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Real time Object Detection using Machine Learning Object Detection with YOLO (You Only Look Once) in TensorFlow and Neural Networks revolutionizes real-time object identification in images or video streams. This application uses neural networks to implement YOLO, ensuring rapid and accurate detection of multiple objects within a single glance. The system’s efficiency in handling diverse
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Object detection with deep learning and OpenCV Object Detection with YOLO (You Only Look Once) in TensorFlow and Neural Networks revolutionizes real-time object identification in images or video streams. This application uses neural networks to implement YOLO, ensuring rapid and accurate detection of multiple objects within a single glance. The system’s efficiency in handling diverse
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Object Detection and Recognition using Machine Learning In this blog, will show project named Object Recognition using Python, this project user have to upload any image and video to machine learning model and it will first detect the object from video and it will recognize that particular object from video frame. Yolo Algorithm is used
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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 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 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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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
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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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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