4 projects built with Python.
Python is where I started with machine learning and where I still go for data and model work. The projects below cover a comparative deep-learning study on chest X-rays with TensorFlow and Keras, an information-retrieval recommendation system built on TF-IDF and inverted indices, NLP probability tooling with NLTK, and a Pygame RPG. Professionally it shows up on the ML and data-processing side of AI features, alongside the TypeScript I use for product code.

A deep learning comparative study of Simple NN, CNN, and Residual CNN architectures classifying chest X-rays as Normal or Pneumonia with TensorFlow and Keras.

A Python Pygame 2D action RPG inspired by Legend of Zelda, featuring real-time combat with 5 weapons, magic spells, 4 enemy types, and character progression.

A cross-language text analysis tool implementing word probability calculation with stopword filtering in Java, Python, and JavaScript for comparative study.

An information retrieval system recommending anime and manga via TF-IDF vector similarity, query spell correction, inverted indices, and feedback refinement.