SK
SHYAM SUNDER KUMAR
// SYRA AI ASSISTANT · Python
syra@python3 ~ assistant_boot.log
$ python syra.py --mode=voice --wake="hey syra"
  › INITIALIZING SYRA 
  › Loading: [SpeechRecognition · pyttsx3 · PyAudio · OpenAI]
  › VOICE PIPELINE ........ ✓ READY
  › Wake-word listener ............. active
  › ALL SYSTEMS OPERATIONAL ✓ — SYRA v0.4.5
0%
🎤  SYRA READY — SAY "HEY SYRA"
AI Voice Assistant Python NLP · Speech 🚧 IN DEVELOPMENT

SYRA

// Smart Your Response Assistant

An AI-powered voice assistant built with Python — featuring real-time speech recognition, wake-word detection ("Hey SYRA"), text-to-speech response, task automation, and OpenAI API integration for intelligent conversational responses.

TYPE AI Voice Assistant
STATUS 🚧 Active Dev
LANGUAGE Python 3.x
PROGRESS 45%
SYRA
// LISTENING
// WAITING FOR WAKE-WORD ...
6
Planned Features
2
Features Live
45%
Build Progress
1
AI Model Integrated
PROJECT ACTIVELY UNDER DEVELOPMENT
Core speech recognition and TTS are functional. Wake-word detection, OpenAI API integration, and task automation modules are currently in progress. New capabilities added continuously.
// OVERALL BUILD PROGRESS 45% COMPLETE
45%
01

SYRA_TERMINAL

syra@python3 ~ assistant_runtime.log
// ─────────────────────────────────────────────────────
//  SYRA AI Assistant v0.4.5  ·  Python 3.x
//  Smart Your Response Assistant — Initializing...
// ─────────────────────────────────────────────────────

$ python syra.py --mode=voice --wake="hey syra"

 SpeechRecognition engine   google.cloud.speech  loaded
 pyttsx3 TTS engine        en-US voice       ready
 PyAudio mic stream        16kHz · mono      open
 OpenAI API                gpt-4o            connected
 Wake-word detector        building...       in-progress

// ── Awaiting wake-word "Hey SYRA" ──────────────────

🎤 WAKE_WORD_DETECTED  "Hey SYRA" [confidence: 0.99]
// ── Conversation session started ────────────────────

USER  › "What's the time right now?"
[STT] Recognized "What's the time right now?" conf:0.97
[NLP] Intent: query_time · Entity: current_time · Local logic
SYRA  › "The current time is 3:42 PM."
[TTS] Response spoken via pyttsx3 [en-US]

USER  › "Hey SYRA, explain machine learning simply."
[STT] Recognized → routing to OpenAI GPT model...
[API] GPT response received [tokens: 142 · latency: 312ms]
SYRA  › "Machine learning is when computers learn patterns from data, not explicit instructions..."
[TTS] Response spoken

// ── Session active — listening ──────────────────────
$ 
02

FEATURES_STATUS

LIVE
🎤
Voice Recognition
Real-time speech-to-text via SpeechRecognition + Google Speech API. Captures mic input, converts to text with 95%+ accuracy.
LIVE
🔊
Text-to-Speech Output
Natural voice output using pyttsx3. Offline-capable, supports speed control, multiple voices — SYRA speaks back naturally.
IN PROGRESS
🔑
Wake-Word Detection
Always-on background listener that triggers only on "Hey SYRA". Custom keyword matching being implemented — like Alexa's hotword engine.
IN PROGRESS
🧠
AI-Powered Intelligent Responses
OpenAI GPT integration for context-aware answers to complex queries. Simple tasks (time, date, calc) handled via local Python logic — complex questions routed to the AI model. Hybrid routing in progress.
PLANNED
Task Automation
Reminders, calendar, app launching, system control, and custom user-defined voice commands via a plugin architecture.
PLANNED
🌐
Internet Queries
Real-time web search, news headlines, weather, and live factual questions using live internet data retrieval.
03

VOICE_PIPELINE

🎙️
MIC INPUT
User speaks
🔑
WAKE WORD
"Hey SYRA"
📝
STT
Speech → Text
🧠
NLP / AI
Intent + GPT
⚙️
ACTION
Execute task
🔊
TTS OUTPUT
SYRA speaks
04

TECH_STACK

// CORE LANGUAGE
Python 3.x
pip Package Manager
Virtual Environment
// SPEECH LIBRARIES
SpeechRecognition
pyttsx3 (TTS)
PyAudio
Google Speech API
Vosk (planned)
// AI & NLP
OpenAI API (GPT)
NLP Processing
NLTK (planned)
spaCy (planned)
// TOOLS
VS Code / PyCharm
GitHub
dotenv (API keys)
05

DEVELOPMENT_TIMELINE

PHASE 01 — CONCEPT & DESIGN ✓ DONE
Defined SYRA's goals, feature set, and technical architecture. Chose Python as primary language and identified core libraries — SpeechRecognition, pyttsx3, OpenAI API.
PHASE 02 — CORE STT + TTS ENGINE ✓ DONE
Implemented speech-to-text using SpeechRecognition with Google backend and text-to-speech using pyttsx3. Basic voice loop fully working — SYRA can hear commands and speak back responses.
PHASE 03 — WAKE-WORD DETECTION ⚡ IN PROGRESS
Building always-on background thread monitoring audio for "Hey SYRA" trigger phrase. Custom keyword matching being implemented — activates full recognition pipeline only on detection.
PHASE 04 — AI MODEL INTEGRATION ⚡ IN PROGRESS
Integrating OpenAI API for intelligent response generation. Hybrid routing: simple commands handled by local Python logic; complex queries routed to GPT for context-aware answers.
PHASE 05 — TASK AUTOMATION 📋 PLANNED
Adding automation modules — reminders, calendar integration, system control, app launching, and user-defined voice commands via a plugin-style extensible architecture.
PHASE 06 — INTERNET QUERIES & FULL LAUNCH 📋 PLANNED
Web search integration, news, weather, live data retrieval, and final polish — packaging SYRA as a complete installable Python application with GUI configuration dashboard.
06

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// ALL PROJECTS
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Explore all projects, research, certifications & more on the main portfolio site.
// COLLABORATE_OR_HIRE

INTERESTED IN AI DEVELOPMENT?

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