Django Backend for a Voice AI Assistant and Call Follow-UpDjango Backend for a Voice AI Assistant and Call Follow-Up
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Sohaib Ahmad
• 4h
Building a Voice AI Assistant That Turns Phone Calls Into Thoughtful Follow‑Through I built a Django backend for a family-focused AI phone assistant. A registered caller connects through Twilio, and Django Channels streams the call to an OpenAI Realtime session for a natural, two-way conversation.
The backend adds caller-specific context, selected voices, subscription minute limits, and interruption handling. After the call, background tasks generate a separate summary. A follow-up email is sent only when requested and the recipient is confirmed.
I also built APIs for managing relations, subscriptions, and dashboard usage data. One of the most interesting parts was connecting the whole lifecycle: incoming call, real-time conversation, usage tracking, and post-call follow-through.
#Django #VoiceAI #RealtimeAI #Twilio #OpenAI #BackendDevelopment
Django REST frameworkPythonTwilio
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