Machine Learning · AI & LLM
Anxiety Detection in Urdu
NLP for mental-health signals in Urdu text
- Role
- ML Engineer · Final-year research
- Year
- 2022
- Status
- Case study
- Stack
- 5 technologies
Anxiety Detection in Urdu
88%
Classification accuracy
Overview
Most mental-health NLP work targets English. This project built a custom Urdu dataset and a classifier that detects anxiety in Urdu text in real time.
What I built
- 01Custom Urdu dataset for mental-health analysis.
- 02Flask API for real-time text classification.
- 03Streamlit interface for interactive exploration.
- 0488% anxiety-classification accuracy.