Spam Detector
ROLE:
Developer
TECH STACK:
Python, NumPy, Streamlit, GitHub
DATE:
November 2025
A spam detector that uses Multinomial Naive Bayes and a K-Nearest Neighbors algorithm, both implemented from scratch.
I focused on the data preprocessing and augmentation, and connecting the algorithms to a website for a smoother UX.