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https://github.com/ryanl2004/teamlyse

TEAMLYSE is an AI SaaS platform that supports businesses, Enterprises and Educators with their meetings, by bringing in real-time advises suggestions, solutions and ideas based on their discussions
https://github.com/ryanl2004/teamlyse

express ffmpeg flask huggingface-transformers nextjs node pytorch react session-cookie shadcn-ui

Last synced: 11 months ago
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TEAMLYSE is an AI SaaS platform that supports businesses, Enterprises and Educators with their meetings, by bringing in real-time advises suggestions, solutions and ideas based on their discussions

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README 

          
# TΞAMLYSE



## 🚀 Overview



**TΞAMLYSE** is an advanced AI-driven assistant designed to transform virtual meetings. Leveraging state-of-the-art Natural Language Processing (NLP) models, it offers real-time transcription, dynamic summarization, and intelligent insights, thereby enhancing productivity, engagement, and decision-making during meetings.



## 🎯 Features



- **Real-time Speech-to-Text Transcription**: Utilizes [OpenAI's Whisper](https://openai.com/research/whisper) for accurate and efficient transcription.

- **NLP-driven Meeting Summaries**: Employs models like [DeepThink](https://huggingface.co/deepthink) and [Hugging Face Transformers](https://huggingface.co/transformers/) for concise and coherent summaries.

- **AI-Powered Meeting Insights & Recommendations**: Provides actionable insights to improve meeting outcomes.

- **Customizable Virtual Avatars**: Offers interactive 3D pet or human avatars using [Three.js](https://threejs.org/).

- **Voice Commands**: Allows users to request summaries or analyses through voice inputs.

- **Seamless Integration**: Compatible with platforms like [Zoom](https://zoom.us/), [Microsoft Teams](https://www.microsoft.com/en/microsoft-teams/group-chat-software), and [Google Meet](https://meet.google.com/).

- **Multi-language Support**: Supports transcription and translation in multiple languages.

- **Post-Meeting Analytics**: Provides engagement metrics and actionable items after meetings.



## 🛠️ Tech Stack



- **Frontend**:

  - [React](https://reactjs.org/): For building user interfaces.

  - [Three.js](https://threejs.org/): For rendering 3D avatars.

  - [TailwindCSS](https://tailwindcss.com/): For styling and design.

- **Backend**:

  - [Flask](https://flask.palletsprojects.com/): A lightweight WSGI web application framework.

  - [FastAPI](https://fastapi.tiangolo.com/): For building APIs with Python 3.7+ based on standard Python-type hints.

  - [Node.js](https://nodejs.org/): For event-driven server-side and networking applications.

- **AI/NLP Models**:

  - [OpenAI Whisper](https://openai.com/research/whisper): For speech recognition.

  - [Hugging Face Transformers](https://huggingface.co/transformers/): For natural language understanding and generation.

  - [DeepThink](https://huggingface.co/deepthink): For advanced NLP tasks.

- **Databases**:

  - [MongoDB](https://www.mongodb.com/): For NoSQL database needs.

  - [PostgreSQL](https://www.postgresql.org/): For relational database management.

- **Cloud & Deployment**:

  - [AWS](https://aws.amazon.com/): For scalable cloud services.

  - [Google Cloud](https://cloud.google.com/): For cloud computing services.

  - [Vercel](https://vercel.com/): For frontend deployments.

  - [Hugging Face Spaces](https://huggingface.co/spaces): For hosting AI models.

- **Version Control & DevOps**:

  - [GitHub](https://github.com/): For version control and collaboration.

  - [Docker](https://www.docker.com/): For containerization.

  - [CI/CD](https://en.wikipedia.org/wiki/CI/CD): For continuous integration and deployment.



## 🚀 Usage



1. **Start a Virtual Meeting**: Initiate a meeting using your preferred platform (e.g., Zoom, Microsoft Teams, Google Meet).

2. **Activate AI Companion**: Launch the AI Meeting Companion to begin real-time transcription and analysis.

3. **Interact via Voice Commands**: Use voice commands to request summaries, insights, or specific analyses during the meeting.

4. **Review Post-Meeting Analytics**: After the meeting, access detailed analytics, including engagement metrics and recommended action items.



## 🛤️ Roadmap



- **Short Term**:

  - *Expand Voice Command Functionalities*: Introduce more diverse and intuitive voice commands.

  - *Enhance Personalization*: Allow users to customize virtual avatars and AI responses.

- **Medium Term**:

  - *Integrate Sentiment Analysis*: Implement sentiment analysis to gauge participant engagement and emotions.

  - *Develop Predictive Analytics*: Provide predictive insights based on meeting data trends.

- **Long Term**:

  - *AI Avatar Evolution*: Introduce advanced avatar functionalities, including real-time reactions based on emotional cues.

  - *Full Integration with CRM Platforms*: Seamlessly integrate with platforms like Salesforce and HubSpot for automatic data synchronization.

  - *Real-time Translation*: Support real-time translation across multiple languages to improve inclusivity.



## 🔗 Links & Resources



- [Project Wiki](https://github.com/RyanL2004/meeting-companion/wiki)

- [Live Demo (TΞAMLYSE)](https://d8bao5pqag4tb.cloudfront.net)

- [API Documentation](https://api.meeting-companion.example.com/docs)

- [Contributing Guidelines](https://github.com/RyanL2004/meeting-companion/blob/main/CONTRIBUTING.md)



## 📄 License



This project is licensed under a Proprietary License ⚠️.



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## 📧 Contact



For inquiries or suggestions, reach out via [GitHub Issues](https://github.com/RyanL2004/meeting-companion/issues) or email me directly at [rayanlouahche2004@gmail.com](mailto:rayanlouahche2004@gmail.com).