LingoMate
An AI-powered English speaking companion that helps users practice real conversations through voice, not just text or grammar drills.
Project Overview
LingoMate is a full-stack AI-powered web application designed to help non-native English speakers improve their spoken English through real-time voice conversations. Users speak naturally, receive intelligent AI responses, and hear replies back using speech-to-text and text-to-speech technologies. The platform focuses on building fluency, confidence, and practical speaking skills rather than rote grammar learning.
Problem It Solves
Many English learners, particularly in Pakistan, struggle to find affordable and judgment-free environments to practice real spoken English. Most existing language learning apps prioritize vocabulary, grammar exercises, or text-based interactions, leaving a gap for natural, real-time conversation practice that builds confidence and fluency.
Tools & Technologies Used
Skills Involved
Challenges
Implementing real-time voice interaction in the browser was a major challenge, including recording and processing audio, converting browser-generated audio blobs into Azure-compatible WAV formats, and handling strict speech API requirements. Additional complexity came from managing latency across speech recognition, AI response generation, and speech synthesis to ensure smooth, natural conversations.
Learnings
This project strengthened my understanding of browser audio APIs, binary data handling, and end-to-end speech pipelines. I gained hands-on experience integrating Azure Cognitive Services and large language models, managing asynchronous workflows, and designing conversational user experiences that feel responsive and human-like.