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tawhidbinomar
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vocalguard-backend
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vocalguard-backend
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backend
4.92 MB
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3 contributors
History:
17 commits
Tawhid Bin Omar
Train ML classifier: 79% accuracy, 85.49% ROC-AUC (1,427 samples)
5444517
8 months ago
models
Train ML classifier: 79% accuracy, 85.49% ROC-AUC (1,427 samples)
8 months ago
transcript_data
backend update
8 months ago
.env.example
Safe
201 Bytes
first commit
8 months ago
HF_ML_TRAINING.md
Safe
10.3 kB
backend update
8 months ago
KAGGLE_QUICKSTART.md
Safe
3.66 kB
backend update
8 months ago
Procfile
Safe
34 Bytes
netlify
8 months ago
TRAINING_GUIDE.md
Safe
7.69 kB
backend update
8 months ago
analyze_transcripts.py
Safe
9.31 kB
backend update
8 months ago
collect_feedback.py
Safe
3.73 kB
backend update
8 months ago
create_balanced_training.py
Safe
4.9 kB
Add ML training pipeline with 87% accuracy
8 months ago
linguistic_improvements.txt
Safe
2.51 kB
backend update
8 months ago
main.py
Safe
9.72 kB
breakdown score
8 months ago
prepare_kaggle_dataset.py
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10.3 kB
backend update
8 months ago
prepare_multi_datasets.py
Safe
9.74 kB
Add ML training pipeline with 87% accuracy
8 months ago
processor.py
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27.3 kB
Improve model robustness: weighted chunk scoring, lower thresholds, enhanced feature sensitivity
8 months ago
requirements.txt
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283 Bytes
backend update
8 months ago
test_setup.py
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3.59 kB
first commit
8 months ago
train_model.py
Safe
7.45 kB
backend update
8 months ago
training_data.csv
Safe
193 kB
Train ML classifier: 79% accuracy, 85.49% ROC-AUC (1,427 samples)
8 months ago