Applying zero-shot learning on classification task.
The goal of this project is to analyze the emotion of retrospectively written psychedelic trip reports to further understand the subjective experience of psychedelic states.
A text classification model from data collection, model training, and deployment.
A multi-label text classification project to classify the category of research papers from its title and abstract.
A multilabel text classifier model which can predict book genres based on the description provided.
Classify movie genre from its summary.
The project involves an innovative 3D flower avatar — a rose, that dynamically visualizes human emotions through color changes and movement, redefining human-computer interaction.
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