🧠 Tani V2 – Local AI Desktop Assistant

Tani V2 is an intelligent, voice-activated virtual assistant built in Python.
It combines local system automation with AI reasoning through Groq’s LLaMA 3 model.
Say "Hey Tani" to wake it — she’ll figure out whether your request needs local action or some LLM brainpower.

graph TD;
    A[🎤 Voice Input] --> B[🗣️ Speech to Text - Whisper or SR];
    B --> C[🧠 Intent Analyzer - Trained Model];
    C --> D{⚙️ Task Router};
    D --> E[💻 System Task Executor - Local];
    D --> F[🧩 Reasoning Engine - Groq LLaMA 3];
    E --> G[🗯️ Response Synthesizer - pyttsx3];
    F --> G;

⚙️ Implemented System Commands

• system_open_app
• system_close_app
• system_open_file
• system_open_folder
• system_open_settings
• system_open_task_manager
• system_open_control_panel
• system_open_file_explorer
• system_open_command_prompt
• system_open_registry_editor

• system_adjust_volume
• system_mute_volume
• system_increase_volume
• system_decrease_volume
• system_select_output_device

• system_adjust_brightness
• system_toggle_dark_mode
• system_turn_off_display
• system_toggle_night_light
• system_shutdown
• system_restart
• system_sleep
• system_hibernate
• system_lock
• system_sign_out

• system_play_media
• system_pause_media
• system_stop_media
• system_skip_media
• system_open_media_player

• system_create_note
• system_create_reminder
• system_open_calendar
• system_schedule_task

• system_open_website
• system_search_web
• system_toggle_wifi
• system_toggle_bluetooth
• system_toggle_vpn

• system_check_battery
• system_check_storage
• system_check_cpu_usage
• system_check_ram_usage

Used for reasoning / conversational queries.

from groq import Groq

client = Groq(api_key="YOUR_GROQ_API_KEY")

def UsingLLM(prompt):
    chatCompletion = client.chat.completions.create(
        messages=[{"role": "user", "content": prompt}],
        model="llama3-8b-8192",
    )
    response = chatCompletion.choices[0].message.content
    print(f"LLM Response: {response}")