---
title: MotiMeter
emoji: ⚡
colorFrom: pink
colorTo: purple
sdk: streamlit
sdk_version: 1.40.2
app_file: app.py
pinned: false
---



# MotiMeter

## Overview
MotiMeter is an innovative AI-powered platform that bridges the gap between therapy sessions by providing continuous support and analysis for both mental health professionals and clients. Using advanced multimodal analysis, it helps make behavioral healthcare more accessible, measurable, and effective.

## 🌟 Key Features
- **MI Adherence Analysis**: Comprehensive evaluation of MI principles adherence with scoring
- **OARS Technical Analysis**: Detailed breakdown of Open Questions, Affirmations, Reflections, and Summaries
- **Client Language Analysis**: Track and analyze change talk vs. sustain talk ratios
- **Session Flow Visualization**: Map the therapeutic journey and key intervention points
- **Smart Recommendations**: AI-powered suggestions for skill development

## 🚀 Getting Started

### Prerequisites
```bash
- Python 3.8+
- Streamlit
- Google Generative AI API access
```

### Installation
```bash
git clone [repository-url]
cd mi-session-analyzer
pip install -r requirements.txt
```

### Running the App
```bash
streamlit run app.py
```

## 📊 Features in Detail

### 1. MI Adherence Analysis
- Score-based evaluation (0-100)
- Identification of strengths and areas for growth
- Specific examples from the session

### 2. Technical Skills Analysis
- OARS technique frequency counting
- Visual representation of technique distribution
- Reflection-to-question ratio calculation

### 3. Client Language Analysis
- Change talk identification
- Sustain talk tracking
- Commitment language monitoring

### 4. Session Flow Analysis
- Key moment identification
- Therapeutic process mapping
- Intervention effectiveness evaluation

## 🔒 Privacy & Security
- All session data is processed securely
- No session information is stored permanently
- Compliant with healthcare privacy standards

## 🤝 Contributing
We welcome contributions! Please see our [Contributing Guidelines](CONTRIBUTING.md) for details.

## 📝 License
This project is licensed under the MIT License - see the [LICENSE.md](LICENSE.md) file for details.

## 🙏 Acknowledgments
- Motivational Interviewing Network of Trainers (MINT)
- Google Generative AI team
- All contributors and beta testers

## 📞 Support
For support, please:
- Open an issue in the repository
- Email: [support@mianalyzer.com]
- Visit our [documentation](docs/README.md)

## 🔄 Version History
- v1.0.0 - Initial release
- v1.1.0 - Added OARS analysis
- v1.2.0 - Enhanced visualization features

---
*Built with ❤️ for the mental health community*