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$
USD
I will build an llm powered voice assistant fast API for web
Imran Rehmat
About this gig
Ready to give your app a voice?
Ill build a powerful, LLM-integrated voice assistant API tailored for your web or Twilio-based applications.
With experience in AI, FastAPI, and voice tech, I develop responsive and intelligent assistants that combine real-time speech recognition and generation, memory handling, and multilingual capabilities all optimized for seamless integration.
What you get:
Speech-to-text & text-to-speech
FastAPI-based secure backend
Integration with Twilio / Telenyx
Memory-enabled conversations
Multi-language support
Custom voice commands
Clear API documentation
Tech stack includes:
FastAPI, OpenAI Whisper, Google STT, ElevenLabs, and more based on your project needs.
Get to know Imran Rehmat
Imran Rehmat
Full Stack AI Engineer
- FromPakistan
- Member sinceDec 2025
Languages
English, Urdu
I help teams integrate AI reliably into real products. I specialize in building and deploying LLM-powered systems, RAG pipelines, AI agents, and automation with a focus on stability, scalability, and clean architecture. I’ve delivered 40+ AI solutions for SaaS, startups, and enterprise teams using modern ML stacks. My work prioritizes clarity, execution, and production-ready results.
Other AI Development Services I Offer
FAQ
Can you deploy the API for me?
Yes! I can deploy to services like Render, Vercel, or your preferred cloud provider.
Will this support real-time audio interactions?
Absolutely — I use tools optimized for low latency and responsive interaction.
Can you integrate this with my existing Twilio flow?
Yes, I can work with your current Twilio Studio flow or API-based solution.
What if I want a specific voice or language?
I support multiple TTS engines and languages — we can tailor this to your needs.
Is memory persistent between sessions?
That depends on your plan — the higher tiers include persistent memory via DB or vector storage.
