attendance-anomaly-detector – AI Model by alirezaaminzadeh | AlphaNeural AI

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alirezaaminzadeh/
attendance-anomaly-detector

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attendanceguard

anomaly-detection

isolation-forest

lstm-autoencoder

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AttendanceGuard Ensemble Model

Hybrid Isolation Forest + LSTM Autoencoder for attendance fraud detection.

Intended Use

Flag suspicious employee-day profiles from turnstile/badge logs
Support HR and physical security audit workflows
Not for automated disciplinary action without human review

Model Components

File	Description
`isolation_forest.joblib`	Tabular outlier detector
`scaler.joblib`	Feature standardizer
`lstm_ae.pt`	Sequence autoencoder weights
`seq_scaler.joblib`	Sequence feature scaler
`config.json`	Thresholds and ensemble weights

Limitations

Trained on synthetic data only
Does not replace CCTV verification or legal HR process
Performance varies by facility layout and shift policies

Training

bash

python scripts/generate_samples.py
python scripts/train_models.py