GitHub - SgAtjiit/Depression-Detector---Backend: A machine learning system for detecting depression from audio and text inputs using advanced feature extraction and NLP techniques. Combines acoustic analysis (MFCC, spectral features) with linguistic pattern recognition for accurate predictions. Includes FastAPI REST API with real-time inference and interactive documentation.

Branches Tags

Name		Name	Last commit message	Last commit date
Latest commit History 4 Commits
.venv/Scripts		.venv/Scripts
audio_depression		audio_depression
data for testing		data for testing
text_depression		text_depression
.env		.env
.gitignore		.gitignore
app.py		app.py
audio_depression.ipynb		audio_depression.ipynb
requirements.txt		requirements.txt
text_depression .ipynb		text_depression .ipynb

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A machine learning system for detecting depression from audio and text inputs using advanced feature extraction and NLP techniques. Combines acoustic analysis (MFCC, spectral features) with linguistic pattern recognition for accurate predictions. Includes FastAPI REST API with real-time inference and interactive documentation.