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I will build a custom twilio voice ai agent with python fastapi and real time ai
Muhammad Faizan
Informazioni su questo servizio
Boost your business with a production-ready Twilio voice AI agent or LiveKit voice bot built in Python using FastAPI. I specialize in AI voice agents that handle inbound/outbound calls with real-time speech-to-text (STT), intelligent LLM responses via OpenAI GPT, Grok, Claude, or DeepSeek, and natural text-to-speech (TTS) for seamless conversations. Perfect for customer support, sales automation, appointment booking, or lead qualification.
What You Get:
- Fully integrated voice AI agent on Twilio or LiveKit with WebSocket for low-latency streaming.
- Custom call flows, IVR menus, human handoff, and fallback logic based on your scripts.
- Robust Python backend with error handling, logging, and scalability for high-volume calls.
- STT/TTS via Deepgram, ElevenLabs, or OpenAI Realtime API for crystal-clear voice interactions.
- Deployed code, Twilio setup guide, and testing on your account.
Why Choose Me?
- 5+ years in AI chatbot development and voice automation. Agile process with weekly demos, 100% satisfaction guarantee, and fast 3-7 day delivery. Past clients automated 1000+ calls/month saving 80% on support costs.
Message me now to launch your AI voice agent today!
Scopri di più su Muhammad Faizan
Muhammad Faizan
I build production grade Voice AI agents LiveKit Twilio Python deployed on AWS
- DaPakistan
- Membro damag 2025
- Tempo di risposta medio1 ora
Lingue
Urdu, Inglese, Arabo
I build production-grade Voice AI agents using LiveKit, Twilio, and Python. I’ve implemented real-time inbound/outbound call flows with low-latency streaming, clean turn-taking, and barge-in handling. I improve reliability by tuning VAD, handling jitter/packet loss, and adding retries plus consistent call-state. I containerize and deploy voice agents on AWS so they run stable in production with logging and monitoring.
Il mio portfolio
FAQ
How do you minimize call latency?
I optimize low-latency by using streaming STT/TTS and efficient WebSockets; actual delays depend on network and processing.
Can the voice agent support barge-in (caller interruption)?
Yes, I can implement barge-in so the caller can interrupt the AI agent mid-speech using our voice API features.
Will calls be recorded or saved?
By default, only minimal logging is used. Full call recording or transcripts can be added if needed.
Can this system meet HIPAA/GDPR compliance requirements?
While I don't certify compliance, I can design the system to support HIPAA/GDPR-aligned requirements based on your policies.
Which provider (Twilio vs LiveKit) should I use?
Twilio is robust for telephony; LiveKit is great for custom streaming. I’ll recommend based on your use case.
Where will the voice agent be deployed?
The code will be containerized (Docker) so it can run on AWS (ECS/EKS) or any suitable server environment.
Can the bot transfer calls to a human agent?
Yes, we can include a handoff to a human by detecting keywords, prompts, or using a dashboard trigger.
Which languages can the agent understand and speak?
I default to English, but I can add other languages with the right STT/TTS models. Let me know which ones you need.
What if my call volume exceeds rate limits?
If you hit rate limits, we can implement queuing or request higher API tiers. Planning for volume is key.
Do you offer support after delivery?
Yes, standard includes 7–15 days of free support for minor fixes. Extended or ongoing support can be added as a paid service.
