Applying zero-shot learning on classification task.
A multilabel text classifier model which can predict book genres based on the description provided.
The project involves an innovative 3D flower avatar — a rose, that dynamically visualizes human emotions through color changes and movement, redefining human-computer interaction.
Multi-label category classifier for Anime and Mange
A text classification model from data collection, model training, and deployment.
Classify movie genre from its summary.
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 multi-label text classification project to classify the category of research papers from its title and abstract.
Pairfect 💞 is an AI-powered relationship app that analyzes couple photos and personalities to reveal compatibility, create romantic art, poems, and playlists. Powered by GPT-4o and HuggingFace, it transforms emotions into art, helping couples visualize their bond through intelligent, creative storytelling. ❤️
Binary sentiment analysis on the Stanford Sentiment Treebank with four PyTorch models: log-linear, bidirectional LSTM, and a fine-tuned distilroberta-base Transformer.
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