# Building SpeakEasy AI: A Multilingual Voice Agent for Bharat > Source: > Published: 2026-08-15 16:39:43+00:00 Voice AI is becoming more accessible, but language and accessibility still remain important challenges for many users in India. As part of the Murf AI Voice for Bharat Challenge, I built **SpeakEasy AI** — a voice-based AI assistant designed to help users practice English through natural conversations. SpeakEasy AI is a conversational voice agent that allows users to speak naturally and receive AI-generated voice responses. The idea is simple: Speak naturally. Practice confidently. Improve one conversation at a time. The agent is designed around everyday English practice and supports English, Hindi, and Hinglish interactions. The project uses: The main goal was to make the interaction feel like a real conversation rather than a traditional chatbot. Users can start a voice conversation, speak naturally, and receive spoken responses from the AI agent. I also integrated a friendly female voice to make the experience more natural and approachable. One of the important parts of the project is handling different ways users communicate. For example, a user can switch between: This makes the experience more comfortable for users who may not be completely confident speaking English. I also experimented with conversational routing. For example, when a user asked for help with a mathematics problem, the main assistant could route the conversation toward a dedicated maths practice specialist. This makes the architecture more flexible because different specialists can handle different tasks. Another feature I implemented was a simple call analytics dashboard. The dashboard tracks: This provides a basic view of how the voice agent is performing. Building SpeakEasy AI helped me understand that a voice agent is much more than simply connecting speech-to-text with an LLM. Important parts include: The biggest learning for me was understanding how different AI components work together to create a complete voice experience. India has a huge diversity of languages and communication styles. Voice interfaces can make AI more accessible to people who may find traditional text-based interfaces difficult or less natural. With better multilingual support and localized voice experiences, conversational AI can become much more useful for everyday learning and communication. I plan to continue improving SpeakEasy AI by working on: This project has been a great hands-on experience in building production-oriented AI voice applications. Thanks to the **Murf AI Voice for Bharat Challenge** for providing the opportunity to explore voice AI more deeply.