MEAN AI — Conversational Intelligence Command Center Conversations are full of promises, tasks, deadlines, and decisions that are easy to forget. MEAN AI turns spoken conversations into actionable commitments. How it works - Real-time voice input: Uses AssemblyAI's real-time speech-to-text API to transcribe spoken input. - Conversational intelligence: Uses Sarvam AI to analyze conversations and extract meaningful information. - Commitment tracking: Identifies tasks, responsible people, and deadlines, then organizes them in a centralized dashboard. - Voice-driven actions: Users can create or complete commitments using natural language. - Confirmation safeguards: Actions that modify commitments require explicit confirmation before changes are saved. - History and persistence: Stores conversation records and commitment status using SQLite. Technology stack: Python, Flask, AssemblyAI Realtime STT, Sarvam AI, JavaScript, HTML/CSS, and SQLite. Vision: Help people move from conversations to clear actions, with fewer forgotten commitments and better follow-through. MEAN AI is being developed as a conversational intelligence layer that connects what people say with what they need to do next.
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