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In this project, we have developed 'Smart Glove' - a sign language translator. It consists of both hardware and software modules for translation and prediction analysis. We perform real-time translation of hand gesture into speech and text. In this project, we have used different machine learning models for prediction analysis including KNN, SVM…
Schlolar Sense is a web application designed to provide educators with comprehensive insights into student performance. The app allows educators to upload student data, analyze class and individual performance, generate detailed reports, and classify students into pathways based on their strengths and weaknesses.
🤖 Enhance your models with SmartKNN, a feature-selective KNN algorithm that improves accuracy by automatically learning feature importance and handling data seamlessly.