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Smart Street Light System with ML by hhu014177 is a document available to read on EtoBox.
What is Smart Street Light System with ML about?
The document discusses using machine learning algorithms like decision tree classifiers and random forest classifiers to automate street light control based on environmental conditions like air quality and visibility. Sensor data is collected and used to train ML models to predict conditions and intelligently control street lights, improving efficiency and safety. The project is implemented with a backend using Flask for data processing and APIs, and a frontend React app for monitoring and configuration.
- Author
- hhu014177
- Language
- EN