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Developers build AI voice apps using Python, React, and Asterisk

By PulseAugur Editorial · [2 sources] ·

A solo developer built Speakroom, an AI-powered language practice app, using a Python/React architecture with FastAPI, React, Vite, and Postgres. The app allows users to practice speaking a chosen language on a selected theme with an AI and receive real-time conversational feedback. Separately, another developer created a voice AI agent system for technical support using Asterisk, LLMs, and RAG, integrating telephony with AI for automated customer assistance. AI

IMPACT Demonstrates practical application of AI in voice-based products and customer support systems.

RANK_REASON The articles describe the technical architecture and implementation details of AI-powered applications, rather than a new model release or significant industry-wide event.

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AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

Developers build AI voice apps using Python, React, and Asterisk

COVERAGE [2]

  1. Towards AI TIER_1 English(EN) · Kamen Zhekov ·

    The Architecture I Used to Build Speakroom, an AI Voice Language Practice App

    <p>I recently built and released <a href="https://speakroom.app">Speakroom</a>, a language practice app where you can choose a language, choose a theme, talk about it with an AI, and get feedback on your conversation in real time.</p><a href="https://medium.com/media/87bda94f0135…

  2. dev.to — LLM tag TIER_1 English(EN) · Khushi ·

    How I Built a Voice AI Agent System with Asterisk, LLMs, and RAG — As a Solo Developer

    <p>When your support team is busy, AI picks up the phone.</p> <h2> The Problem We Were Solving </h2> <p>Imagine a user calls your company's technical support line at 7 PM. Everyone on the support team has logged off. The phone rings… and rings. The user hangs up frustrated.</p> <…

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