Welcome to VectorPredictor
Classify mosquito species and age bins from mid-infrared spectra, with transparent probabilities, confidence tiers, and explicit abstention.
Why VectorPredictor?
MIRS-AI methods support rapid mosquito spectral analysis that may inform surveillance and research workflows.
Species Identification
Assign species labels from spectroscopic data, with class probabilities and confidence tiers shown for each spectrum.
Age Estimation
Determine mosquito age within 1-17 days range for optimal vector control timing.
Uncertainty-aware outputs
Review confidence tiers, class probabilities, and abstention when model certainty is insufficient for labelling.
How It Works
A structured workflow supports consistent and efficient mosquito analysis.
Upload Data
Upload your MIRS spectral data through our secure platform.
AI Analysis
Our machine learning algorithms process your data with scientific precision.
Get Results
Receive model classifications with class probabilities, confidence tiers, and explicit abstention when confidence is low.
Review & export
Export results with uncertainty metadata for downstream analysis and independent validation.
Scientific Validation
Our methods are peer-reviewed and published in leading scientific journals.
"Rapid age-grading and species identification of natural mosquitoes for malaria surveillance"Published in Nature Communications (2022)
DOI: 10.1038/s41467-022-28980-8
Research Partners
Collaborating with leading institutions worldwide to advance vector control science.
Supported by:
Ready to begin?
Sign in to begin analysis with your research data