MACHINE LEARNING

Stock Price Prediction using Machine Learning | Data Analysis Projects for Final Year

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

Stock Price Prediction using Deep Learning Stock Price Prediction Software, Our project is designed to empower users with the ability to predict and analyze stock prices using machine learning models. By leveraging historical stock data and advanced algorithms, our software provides users with insights into potential future price movements, enabling informed decision-making in the dynamic […]

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Human Activity Recognition using TensorFlow | Abnormal or Suspicious Activity Detection

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

Human Activity Recognition using Machine Learning | Abnormal or Suspicious Activity Detection Human Activity Recognition using Machine Learning Abnormal activity recognition and its detection becomes a major task in surveillance videos. From the context of security purposes, that it becomes more challenging to identify the suspicious events or activities in video surveillance. Surveillance closely observes,

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Automatic Number Plate Recognition (ANPR) using Python | Vehicle Number Plate Detection using YOLO

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

Vehicle Number Plate Detection System for Indian Vehicle using Python Tamil License Plate Detection and Recognition using Machine Learning, This project will detect helmet detection and license plate recognition user have to upload input image and machine learning model will detect license plate and it will extract number from license plate. Automatic Number Plate Recognition

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Traffic Light Detection and Color using Yolo | OpenCV Projects | Image Processing

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

Smart Traffic System using Machine Learning Traffic Light Detection System using Machine Learning, This project focuses on developing a system for real-time traffic light detection and providing corresponding audio outputs to assist individuals, especially those with visual impairments, in navigating roadways safely. Leveraging computer vision techniques, we employ deep learning algorithms to detect and recognize

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Traffic Light Detection OpenCV Python | Image Processing | Machine Learning Projects

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

Traffic Signal and Countdown Timer Detection Network for Autonomous Vehicles In this video, will show the traffic signal recognition and gave command to traffic whether they have to stop or drive. If the traffic light is green then vehicles can pass or if orange or red then they have to stop their vehicles it also

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Traffic Light Detection OpenCV Python | Computer Science Mini Projects for College Students

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

Traffic Light Detection using YOLO Traffic Light Detection System using Image Processing, In this project user can upload any image or video to machine learning model and model will detect and recognize the color of traffic light and identify the counter. If the light is green then it gave permission to pass vehicle or if

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Traffic Sign Recognition using Machine Learning | Image Processing Projects

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

Traffic sign recognition project with Source Code Traffic Sign Recognition using Convolutional Neural Networks (CNN) to detect and identify the traffic sign from input images or videos. : If system should have to recognize “stop” sign and gave alert to drive to stop their vehicle, so it prevents accident. By using of traffic sign images

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Traffic Sign Classification using Computer Vision | Machine Learning Projects

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

Traffic Signs Detection and Recognition System using Deep Learning Traffic Sign Recognition using Convolutional Neural Networks (CNN) to detect and identify the traffic sign from input images or videos. This project main aim to develop an automated system that classify accurately various traffic sign on Indian roads, it contributes to development of advanced driver assistance

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Traffic Sign Classification using Deep Learning | Image Processing Projects

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

Traffic Sign Detection using Machine Learning The vehicle accident rate increases rapidly due to not observing traffic signs and not obeying traffic rules. By using of traffic sign images that can be easily accessible from Kaggle website for training data, which are trained from road traffic sign images and it allows us to overcome the

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Traffic Sign Recognition using Machine Learning | Python | CNN | Image Processing

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

Traffic Sign Recognition System using CNN Traffic Signs plays major role in road safety as they are essential for road information to drivers. An Automated Traffic sign recognition system can help to improve in road safety and efficient on Indian roads. For Example: If system should have to recognize “stop” sign and gave alert to

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