B.R.I.H.A. – Behavioral Response & Intelligent Human Assistant

Your own J.A.R.V.I.S.-like voice AI assistant designed to listen, understand, and act – phase by phase.

Project vision :

B.R.I.H.A. is an evolving AI assistant built with Python. Inspired by Tony Stark's J.A.R.V.I.S., it’s designed to become a multi-functional, voice-controlled personal assistant. This is Phase 1: activating voice input, speech output, and basic response behavior.

Features-phase 1 :

✅ Voice input via microphone
✅ Voice output using TTS
✅ Core module-based design (listener, speaker, responder)
✅ Modular code for future expansion
✅ Search + Timer support (core utilities)

Tech stack :

• Language: Python 3.x
• Voice Input: SpeechRecognition, pyaudio
• Transcription: OpenAI Whisper (tiny/base models) — offline, chunked processing
• Command Parsing: Rule-based logic (custom)
• Execution Layer: Python modules (reminders, timers, web scraping)
• Voice Output: pyttsx3 / gTTS
• Scheduler: APScheduler / datetime

Folder structure :

briha/ │ ├── core.py # Main control loop ├── listener.py # Handles microphone input ├── speaker.py # Text-to-speech engine ├── memory.json # Assistant memory (stub) ├── utils/ │ ├── time_utils.py # Timer support │ └── search_utils.py # Basic search logic ├── README.md

Usage

git clone https://github.com/roops-spec/briha.git
cd briha
pip install -r requirements.txt
python core.py

Then say, “What’s the time?”, “Search AI”, or “Exit”.

Coming in Phase 2:

• Custom wake word
• GUI with voice command log
• Weather, alarms, and file access
• Contextual memory and smart reply logic

Design Note:

Phase 1 is lean by design: low-complexity, offline-first, and modular. Prioritizes reliability and core user loop over streaming or ML-heavy features. Phase 2 will explore real-time duplex audio, async NLP, and LLM integration.