A collection of machine learning and data-focused projects I’ve built while learning applied AI, NLP, and practical system design.
Featured Project
Emotion & Risk Classifier (NLP System)
A machine learning system that analyzes text input and classifies emotional tone and potential risk using sentence embeddings and a supervised classifier.
- Built with Python and scikit-learn
- Uses sentence-transformers for semantic embeddings
- Trained on labeled emotional dataset
- Outputs multi-class prediction with confidence scores
- Includes Streamlit interface for real-time testing
GitHub: Project Link: Emotion & Risk Classifier (NLP System)
Other Work
- Dataset preparation and labeling for NLP classification tasks
- Experimentation with text preprocessing and embeddings
- Model testing and evaluation scripts
In Progress / Future Work
Expanding into deeper NLP systems, real-world classification models, and applied machine learning projects focused on human behavior and language understanding.
Clear Mind Logs
If you’re interested in the thinking and reflection behind my work, you can explore my Clear Mind Logs — a space for behavior reflection, mindset, and personal observation.
The Clear Mind Project 