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TL;DR
Over 10 days, as part of Murf AI's 10 Days of Voice Agents — Voice for Bharat Challenge 2026, I built Sydney — a Hinglish-speaking AI/ML learning companion that teaches concepts like RAG, backpropagation, embeddings, and agent architectures entirely through voice conversation. She remembers returning learners, fetches practice exercises, makes outbound calls, escalates to a human when a learner is genuinely struggling, tracks her own success rate on a live dashboard, and hands off to specialist agents when a question needs deeper expertise.
This post covers what she does, the features that mattered most, the bugs that actually broke things (not the polished version — the real ones), and enough practical detail for you to build your own.
Repo: github.com/suyashsahu00/10-days-of-AI-voice-agents-voice-for-bharat-challenge-2026
