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Search: road-to-machine-learning
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Showing 5 results from 15
wargraver/pothole_detection
GitHub JavaScriptBy using this app users can report the potholes on road by clicking a photo via our app and if a pothole is detected by Machine Learning modal then it is saved to our Database from where officials can view the specifics like location,reported by and official can resolve the request.User are notif... Read more
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dia2018/What-is-the-Difference-Between-AI-and-Machine-Learning
GitHubArtificial Intelligence and Machine Learning have empowered our lives to a large extent. The number of advancements made in this space has revolutionized our society and continue making society a better place to live in. In terms of perception, both Artificial Intelligence and Machine Learning a... Read more
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omkarjavali/Automatic-Traffic-Rule-Violation-Detection-and-Fine-Collection-Using-Machine-Learning
GitHub PythonThis project utilizes machine learning to detect traffic rule violations i.e., helmet detection. It captures video feeds from traffic cameras, processes them to identify violations, and automates fine collection by notifying relevant authorities. The system aims to enhance road safety and streaml... Read more
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Deepnarayan70/Road-Accident-Severity-Prediction-ML
GitHub PythonThis project focuses on analyzing road traffic accident data and predicting casualty severity using machine learning techniques. It includes data preprocessing, exploratory data analysis, correlation analysis, classification models, and decision treeβbased interpretation to identify key factors i... Read more
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ayushkr160/road_accident_prediction
GitHub PythonThis project focuses on analyzing road safety data using Python and machine learning techniques to uncover accident trends and predict outcomes. The dataset contains information about traffic accidents, including road and weather conditions, vehicle types, time of accident, and casualty details.
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