AI Meeting Companion Project: Comprehensive Documentation
The AI Meeting Companion is a next-generation tool designed to revolutionize how virtual meetings are conducted. By leveraging state-of-the-art AI technologies, real-time communication capabilities, and visually engaging interactive assistants, this tool enhances productivity, accessibility, and engagement for individuals and teams worldwide.
To create an AI-powered assistant that simplifies meetings by offering live transcription, summarization, actionable insights, and interactive engagement through customizable 3D pet or human avatars, making meetings more productive and enjoyable.
- AI listens to conversations and identifies key points, action items, and decisions.
- Generates concise summaries and sends them to participants instantly post-meeting.
- Suggests ideas, solutions, or resources based on the ongoing discussion.
- Provides data-driven recommendations or relevant case studies for context.
- Prepares a dynamic agenda by analyzing pre-meeting input.
- Reorganizes topics in real-time to maximize productivity.
- Transcribes speech into text with translation support for multilingual teams.
- Makes meetings accessible across different languages.
- A customizable 3D pet or human avatar reacts to discussions with animations or speech bubbles.
- Options for users to adjust the assistant’s appearance, placement, and personality.
- Animations such as wagging tails, clapping, and nodding to provide engaging feedback.
- Participants can directly ask the AI for insights or summaries during the meeting.
- Commands like “What’s the summary so far?” or “Suggest a solution for this challenge.”
- Engagement metrics, including talk time distribution and focus areas.
- Suggestions for improving future meetings based on trends and patterns.
- Cross-platform compatibility with platforms like Microsoft Teams, Zoom, and Google Meet.
- Synchronization across desktop and mobile devices.
- Accessibility features such as voice control and adjustable font sizes.
- Reduce time spent on follow-ups by providing instant summaries and actionable insights.
- Facilitate accessible and multilingual learning tools for diverse classrooms.
- Enhance collaboration and engagement for distributed teams working across different time zones.
- Core features: Basic transcription, pet animations, agenda tracking, and summaries.
- Initial integration with Microsoft Teams and Zoom.
- Add multilingual support, voice commands, and analytics.
- Enable enhanced customization for avatars.
- Conduct performance testing and optimize for scalability.
- Advanced AI/ML model improvements for contextual understanding.
- Speech Recognition: OpenAI Whisper for accurate and cost-effective transcription.
- Summarization Models: DeepThink for reasoning and context-aware summaries; Hugging Face Transformers for custom NLP tasks (e.g., Pegasus, T5).
- Frameworks: TensorFlow and PyTorch for fine-tuning additional models, such as sentiment analysis or topic classification.
- React: Build dynamic user interfaces and interactive dashboards.
- Three.js: Integrate and render 3D assets within the app interface.
- Node.js: Handle real-time communication via WebSockets and APIs.
- Python: Manage AI functionalities such as transcription and summarization.
- Flask/FastAPI: Expose AI-based services as APIs for frontend consumption.
- Blender: Create and animate 3D models for interactive avatars.
- Aseprite: Alternative for pixel art-based visuals.
- MongoDB: Store unstructured data like user preferences and meeting notes.
- PostgreSQL: Manage structured data, including agendas and participant information.
- AWS or Google Cloud: Ensure scalability and reliable hosting for APIs and databases.
- Hugging Face Spaces: Free hosting for AI models during development.
- Trello or Jira: Manage tasks and track development progress.
- GitHub: Collaborate on code and maintain version control.
- A clean, minimalistic interface displaying:
- Upcoming Meetings: Agenda, participants, and preparation materials.
- Past Meetings: Summaries, recordings, and action points.
- Insights & Analytics: Engagement stats and key trends.
- Pet/Avatar Customization: Personalize avatars with colors, accessories, and animations.
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Live Interaction:
- Assistant appears in a corner, delivering:
- Live summaries and key action points.
- Suggestions and solutions related to ongoing discussions.
- Users can click on the assistant to:
- Request summaries or clarifications.
- Get suggestions or access resources.
- Assistant appears in a corner, delivering:
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Core Functionalities:
- Real-time speech-to-text transcription with highlighted keywords.
- Dedicated action point tracker for tasks, decisions, and deadlines.
- Participant contribution tracker to visualize engagement.
- Select from a variety of avatars (e.g., pets or humans).
- Customize appearance (colors, accessories) and personality (cheerful, calm, professional).
- Themes: Light/dark modes and customizable backgrounds for the interface.
- Summaries formatted with clickable timestamps for recordings.
- Action points categorized by urgency, participants, or topics.
- Engagement metrics visualized as graphs and insights shared by the assistant.
- Seamless connection with:
- Calendar Apps: Google Calendar, Outlook.
- Collaboration Tools: Slack, Trello, Jira.
- Storage Platforms: Google Drive, Dropbox.
| Risk | Likelihood | Impact | Mitigation |
|---|---|---|---|
| Performance issues with 3D assets | Medium | High | Optimize models and animations. |
| Speech recognition inaccuracies | Medium | Medium | Use robust pre-trained models. |
| Integration challenges with platforms | Medium | High | Perform thorough API testing. |
| Scalability during peak usage | Low | High | Leverage cloud solutions for scalability. |
- Initialize project structure and development environment.
- Build a basic React UI and Node.js backend.
- Implement transcription and summarization features.
- Develop basic pet animations and interactions.
- Add multilingual transcription, voice commands, and analytics.
- Enhance customization options for pets and avatars.
- Conduct performance testing and debugging.
- Deploy the MVP and gather user feedback for improvements.
The AI Meeting Companion is an innovative tool that redefines virtual meetings by combining advanced AI technologies, real-time communication, and engaging visuals. By leveraging OpenAI Whisper, DeepThink, and customizable 3D avatars, this project aims to deliver an unparalleled meeting experience that boosts productivity and engagement for teams worldwide.
This template provides a minimal setup to get React working in Vite with HMR and some ESLint rules.
Currently, two official plugins are available:
- @vitejs/plugin-react uses Babel for Fast Refresh
- @vitejs/plugin-react-swc uses SWC for Fast Refresh