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Self Driving Car Project using Machine Learning

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

Lane Detection for Self Driving Car Project The Self-Driving Car Project revolutionizes transportation by incorporating neural networks for autonomous vehicle control. This application utilizes advanced machine learning algorithms to process sensor data, recognize road conditions, and make real-time driving decisions. The neural networks’ ability to adapt to dynamic environments and diverse scenarios ensures safe and […]

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Satellite Object Detection using Image Processing | Python Projects

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Deep Learning methods for Remote Sensing Satellite Images Classification Satellite Image processing using machine learning, This project will identify the object from satellite images, user have to upload any image to that project then model will identify the object and provide accuracy of identifying the object. It detects different type of object like baseball ground,

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Satellite Image Classification using Python | Image Processing Projects for Final Year

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Satellite Image Classification using CNN The Satellite Image Analysis Project harnesses the capabilities of neural networks to analyze and interpret satellite imagery for various applications. This application includes tasks such as land cover classification, environmental monitoring, and disaster response. Neural networks enhance the accuracy and speed of image analysis, providing valuable insights for scientific research,

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Satellite Image Classification using Machine Learning | Object Detection using YOLO

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Satellite Image Classification using Python Satellite Image Detection and Classification using Image Processing, It works on satellite image where it will identify the area like airport, seaport, basketball court, tennis court, etc. user can provide input image to machine learning model then it will identify that particular things from dataset. This project works similar to

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

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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

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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

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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

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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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