Vineeth Manoj

Machine failure prediction: Implemented the test and train analysis to predict the machine failure according to the given data i.e. Air temperature, rotational speed, torque etc. Implemented seven different models to check the bet and accurate outcome for the prediction. Clusters on global development measurement dataset: Conducted clustering analysis on a global development dataset, utilizing various clustering models to uncover meaningful patterns and insights. Deployed the clustering application on platforms like Streamlit and Flask for interactive data exploration and visualization. BIOID-Attendance using Face Recognition: Developed a Python-based Attendance Management System using machine learning and face recognition technology. Enhanced the efficiency of attendance tracking in organizations by automating the process of facial feature detection and recognition from camera input or stored images, resulting in a streamlined and effective solution.