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arXiv AI By Muhammad Fahad Bashir, Muhammad Afzal

An AI-Powered Culturally Aware Chatbot for Stress Detection and Wellness Support among Pakistani University Students Using NLP and Machine Learning

Read the original on arXiv AI →

The paper presents an AI‑powered, culturally aware chatbot designed to detect stress and provide wellness support for Pakistani university students. Using a Random Forest model trained on 1,100 responses across 20 psychological, physiological, academic, environmental, and social features, the system achieves 89.09% accuracy and a macro F1‑score of 0.89 across three stress severity levels. The model’s outputs are fed to an open‑source large language model via OpenRouter, enabling culturally tailored conversations in English, Urdu, and Roman Urdu, with teacher‑student relationship identified as a key stressor.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv AI.

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