neural-networks

Identifying individual speakers in an audio stream based on the unique characteristics found in individual voices using Python

Meeting summarizer to generate important points and actionables from any meeting, lecture and transcript.

Use Transformers.js from Blazor WebAssembly to run pretrained models with the ONNX Runtime in the browser.

A deep learning project for detecting and classifying teeth as normal or cavity using YOLOv12m. The model is integrated into a web application for real-time dental screening. Designed to enhance early diagnosis accessibility, with future improvements planned for dataset expansion, annotation quality, and robustness to real-world conditions.