Mutually-confirmed debt tracking for shops, freelancers, and friends. Built at SalamHack 2026.

Fairfluence is a modular Python library for data profiling, outlier detection and fairness analysis in tabular machine learning datasets. It combines classical statistical techniques with influence functions to help identify data points that degrade model performance or introduce bias.

A comparative analysis of NLP evolution, evaluating multilingual transfer in medical contexts and benchmarking LLMs against classical machine learning on structured data.

Develop and evaluate machine learning pipelines for classifying univariate ECG time series data into four rhythm categories

This repository contains the implementation of a sentiment analysis project on financial news, completed for the Natural Language Processing course at Technische Universität Berlin. The project applies various text classification methods to identify positive, neutral, and negative sentiments in financial news headlines.

An end-to-end Mini-LLM pipeline that evolves from statistical n-gram models to neural and transformer-based language models, with systematic benchmarking and evaluation.