Projects
A selection of my work and projects.
Titanic Predict Survival
Kaggle-style ML project: predict passenger survival and cabin level from the Titanic dataset.
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Titanic Predict Survival
A machine learning project built for the classic Kaggle Titanic competition. The notebook predicts whether a passenger survived the disaster and infers cabin level from the available features.
What it does
- Uses the Titanic passenger dataset (e.g. age, sex, class, fare, embarkation).
- Trains a model to predict survival (binary classification).
- Predicts or infers cabin level from the data.
- Implemented in Jupyter Notebook for clear steps and visualizations.
Tech
- Python, Jupyter Notebook
- Data analysis and ML (e.g. pandas, scikit-learn or similar)
24-7 Pharmacist
A Streamlit app that simulates a virtual pharmacist for medication and food-interaction questions.
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24-7 Pharmacist
A virtual pharmacist demo that helps users with questions about medication and food interactions, built with Streamlit and trained on curated medical content.
What it does
- Answers questions about Metformin (type 2 diabetes) and related topics using the National Library of Medicine’s Clinical Questions Collection and selected articles.
- Simulates a pharmacist-style assistant for drug–food and drug–drug interaction concerns.
- Gives personalized, easy-to-understand answers so users can make better decisions about their medications.
Tech
- Python 3.8, Streamlit
- RAG / retrieval (e.g. Chroma) over clinical and Metformin-focused text
- Styled UI (CSS) for a clear, professional look
Best used for Metformin and type 2 diabetes–related questions.
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