Skin Cancer Detection using Machine Learning | Machine Learning Projects for Final Year

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

Skin Cancer Detection using Machine Learning In this video, we will try to detect skin cancer disease from image, this machine learning model will detect that particular person have skin cancer or not and this project will classify the type of skin cancer and provide educational information. In this project python programming language is used […]

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Skin Cancer Detection using Deep Learning | IEEE Projects for Computer Science 2024

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

Skin Burn Detection using Machine Learning In this video, we will show skin burn detection system using image processing, user have to upload input image to software, the input image will be burned skin image and machine learning model is trained on large dataset of skin burn images and algorithm is used to train model,

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Cancer Detection using Image Processing Project | Skin Cancer Detection using Deep Learning Project

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

Skin Cancer Detection and Classification using Machine Learning Skin Disease Detection and Cancer Detection, In this model user have to first upload input image to machine learning project and it will detect the skin disease and gave prevention and severity level. When user provide input image of skin disease then it will detect the skin

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Skin Cancer Detection using Machine Learning Project | Final Year Project Computer Science

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

Skin Disease and Cancer Detection using Machine Learning In this video, we will show project that will detect skin disease from input images and cancer detection using machine learning, this model trained on large dataset of images that contains skin disease images and machine learning model will trained from those image and create a model,

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Smart Traffic Management System using Artificial Intelligence

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

Smart Traffic Management and Control System A traffic signal control module is integrated with the system to adjust signal timings dynamically based on real-time congestion levels. The module receives input from the YOLO-AlexNet model and uses an ML-based decision algorithm to optimize green light durations. This significantly reduces waiting time at intersections and enhances overall

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Smart Traffic Management System using Artificial Intelligence Part – 2

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

Smart Traffic Control System Project with Source Code Traffic congestion is a pressing issue in urban areas, leading to increased travel time, fuel consumption, and environmental pollution. Traditional traffic management techniques struggle to cope with dynamic road conditions, necessitating the integration of artificial intelligence (AI) and machine learning (ML) for real-time traffic control. This paper

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Smart Traffic Management System using Artificial Intelligence Part – 3

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

Smart Traffic Management System Project in Python Smart Traffic Management System, This project is about managing traffic from each lane according to traffic light timer. This system will detect vehicle and count total number of vehicle and classify type of vehicle like normal or emergency vehicle. We used YOLO Algorithm to detect vehicle. After detection

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Social Distancing Detection using Python OpenCV | Machine Learning | Deep Learning | Computer Vision

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

Social Distance Detection using Deep Learning In this video, we will show Social Distancing Violation Project, developer have to add the threshold value of distancing from that distance if person came then it will give alert. In this feature user can select any input video and model will detect social distancing violation. It will identify

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