---
title: Manan ML API
emoji: 🧠
colorFrom: green
colorTo: purple
sdk: docker
pinned: false
license: mit
---

# Manan ML API - Mental Health Emotion Recognition

This is the ML backend for the **Manan (मनन)** mental health analysis app.

## Features

- **Face Emotion Recognition**: Using DeepFace to detect 7 emotions (Angry, Disgust, Fear, Happy, Sad, Surprise, Neutral)
- **Voice Emotion Recognition**: Using SpeechBrain's Wav2Vec2-IEMOCAP model
- **Text Emotion Recognition**: Using Whisper for transcription + DistilBERT for emotion classification

## API Endpoints

### Health Check
```
GET /
GET /health
```

### Face Emotion Prediction
```
POST /pred_face
- files: List of image files
- questions: JSON string with question metadata
```

### Voice Emotion Prediction
```
POST /predict_audio_batch
- files: List of audio files (WAV format)
```

### Text Emotion Prediction
```
POST /predict_text/
- files: List of audio files (WAV format)
- Returns: transcript + emotion
```

## Models Used

1. **DeepFace** - Facial emotion recognition
2. **OpenAI Whisper (base)** - Speech-to-text
3. **SpeechBrain Wav2Vec2-IEMOCAP** - Voice emotion recognition
4. **DistilBERT** - Text emotion classification

## Usage

The API is designed to be used with the Manan Flutter mobile app for multimodal emotion analysis.

## License

MIT License