OlimpiadaAI/II-OlimpiadaAI

Comprises 12 practical AI challenges spanning computer vision (coin detection, image inpainting), NLP (hallucination detection, machine translation stylization), and signal processing (ECG anomaly detection), with solutions submitted as Jupyter Notebooks evaluated automatically on a dedicated contest platform. Structured as a three-stage competition (online qualifier, four regional sites, national finals) targeting secondary and primary school students, using Python 3.11 with conda-managed environments and datasets from OpenAI, Google, and academic sources like MedMNIST and SciFact.