Tarunjit45/local-researcher：语音合成终端 AI 助手

🎙️ Local Researcher — Voice-Synthesized Terminal AI Assistant

A lightweight, terminal-based AI research tool built for low-end laptops and offline environments. It uses local Small Language Models (SLMs) via Ollama to synthesize structured explanations and speaks the briefing aloud using an offline Text-to-Speech (TTS) engine.

🌟 Key Features

• Offline Text-to-Speech (TTS): Uses pyttsx3 to read generated research summaries aloud at customizable speeds and volumes without internet connection.
• Zero API Costs: Powered by local Ollama models—completely private, offline, and free forever.
• Rich Terminal Interface: Renders colorized prompts, loading status indicators, and structured Markdown in your console.
• Low-Resource Footprint: Engineered to run smoothly on budget laptops and edge devices.

📁 Repository Structure

local-researcher/
├── research.py             # Main terminal interface, Ollama query & TTS speaker
├── requirements.txt        # Dependencies (ollama, rich, pyttsx3)
├── LICENSE                 # MIT License
└── README.md               # Documentation

🚀 Quick Start

1. Prerequisites

• Python 3.10+
• Ollama installed and running
• A local SLM downloaded (e.g., ollama pull llama3.2 or ollama pull phi3:mini)

2. Installation & Run

git clone https://github.com/Tarunjit45/local-researcher.git
cd local-researcher

pip install -r requirements.txt
python research.py

Type any topic to receive a real-time console breakdown and audio narration!

📄 License

This project is open-source under the MIT License.