R12025
Research
Air Pollution Prediction from Acoustic Signals
- Question
- Can acoustic signals predict air-pollution levels?
- My role
- Integrated time-series datasets, engineered predictive features, and evaluated XGBoost models.
- Methods
- Outputs
- Integrated 10GB+ of data from 30+ structured and semi-structured files in R.
- Explored acoustic–pollution relationships using nine correlation heatmaps and engineered 27 features.
- Achieved R² = 0.87 with XGBoost and k-fold cross-validation, outperforming Random Forest.