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, […]
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 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 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 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
Social Distancing Violation using Python Social Distancing Detector Project developed using python programming language and graphical user interface designed in tkinter. machine learning modules work first module detect person and bounded by red boundary box and model works for social distancing, developer have to add the threshold value of distancing from that distance if person
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Crop Yield Prediction based on Indian Agriculture using Machine Learning Project Crop Yield Prediction is an important feature of agriculture domain that helps farmers to make correct decision for huge losses for their crops. User have to provide the details of temperature (C), Humidity, Nitrogen, Phosphorous, Potassium from those inputs values model will predict the
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Sports Activity Recognition using Machine Learning Human Activity Recognition using Machine Learning, This project is used for detecting human activity and simultaneously it will recognize the sports activity and classify it. Machine Learning model will detect and classify the type of game the person is playing like Basketball, golf, badminton, Cricket, etc. User can provide
Deep Learning based Human Activity Recognition using CNN Sports Activity Recognition using Image Processing, In this video will show how the sports activity is recognized from any input video. This project is trained on large dataset of video and images so that machine learning model can trained and it can identify the type of sports
Feasible Prediction of Multiple Diseases using Machine Learning Multiple Disease Prediction using Machine Learning. in this project it works on multiple disease and gave prediction of any particular disease. User have to enter inputs and according to input values model will predict the disease. This machine learning model will work on multiple disease here is
