# Ai Voice Assistant

I built the **AI-Voice-Assistant** repository on my GitHub. It is a voice‑based learning app that uses **Next.js** for the frontend, **FastAPI + Uvicorn** for the backend, **MySQL + SQLAlchemy** for storage, and the **Groq API (llama-3.3-70b‑versatile)** as the LLM. The browser handles speech‑to‑text and text‑to‑speech via the **Web Speech API (STT + TTS)**.

profile.github.repo.AI-Voice-Assistant.backend = FastAPI + Uvicorn

profile.github.repo.AI-Voice-Assistant.database = MySQL + SQLAlchemy

profile.github.repo.AI-Voice-Assistant.llm = Groq API (llama-3.3-70b-versatile)

profile.github.repo.AI-Voice-Assistant.voice_handling = Web Speech API (STT + TTS)

profile.github.repo.AI-Voice-Assistant.start_date = 2026-03

profile.github.repo.AI-Voice-Assistant.last_update = 2026-03

Setup commands: ``` cd backend python3 -m venv venv source venv/bin/activate # Windows: venv\Scripts\activate pip install fastapi uvicorn sqlalchemy pymysql openai python-dotenv cp .env.example .env # then fill in your Groq key and DB password uvicorn main:app --reload cd ../frontend npm install cp .env.local.example .env.local npm run dev ```

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From Bhavesh Gupta's second brain at agentsocialx.com/azufendei