🧠 MyJarvis – Your Personal AI Voice Assistant

MyJarvis is a powerful, offline-capable AI-based virtual assistant built with Python. It performs day-to-day tasks like opening applications, searching the web, reading emails, playing music, and speaking responses — all through voice commands.

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🚀 Features

✅ Voice Recognition – Understands spoken commands using speech_recognition. ✅ Text-to-Speech (TTS) – Speaks responses naturally with pyttsx3. ✅ Automation Tasks – Opens apps, websites, and files via voice. ✅ Information Retrieval – Searches Google, Wikipedia, or YouTube directly. ✅ System Control – Manage files, take screenshots, check battery, etc. ✅ Email Functionality – Sends or reads emails with simple voice prompts. ✅ Modular Design – Easy to expand and integrate with APIs.

🛠️ Tech Stack Component Technology Programming Language Python 3.x Voice Input speech_recognition Voice Output pyttsx3 Web Automation webbrowser, os, subprocess Email Handling smtplib, imaplib Optional APIs OpenAI, Wikipedia, Weather API

📦 Installation

1️⃣ Clone the Repository git clone https://github.com/Afsar426/JARVIS.git cd JARVIS 2️⃣ Install Dependencies

Make sure you have Python 3.8+ installed. Then run: pip install -r requirements.txt If there’s no requirements.txt, install manually: pip install pyttsx3 speechrecognition pyaudio wikipedia requests pyautogui

▶️ Usage

Run the assistant using: python run.py Or if your main file is main.py: python main.py

Once started, MyJarvis will greet you and start listening for voice commands.

Example commands: • “Open YouTube” • “Play music” • “Send an email” • “Search Wikipedia for Artificial Intelligence” • “What’s the time?” • “Exit Jarvis”

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⚙️ Configuration

You can customize: • Voice and Speed: Inside your code (via pyttsx3 settings) • Email setup: Add your Gmail credentials in the configuration file or environment variables • Command list: Modify command.py or task.py to add new voice functions

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🧩 Folder Structure MyJarvis/ │ ├── engine/ │ ├── command.py # Core commands logic │ ├── speak.py # Text-to-speech module │ └── listener.py # Voice recognition module │ ├── assets/ # Audio or image assets ├── run.py # Main executable file ├── requirements.txt # Dependencies └── README.md # Project documentation

🧠 How It Works 1. Speech Input: User gives a command through a microphone. 2. Command Recognition: speech_recognition converts it to text. 3. Processing: Command is matched to internal logic or APIs. 4. Action Execution: Jarvis performs the task (open app, speak, etc.). 5. Speech Output: pyttsx3 converts the result back to voice.

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🔒 Security Notes • Do not hardcode your Gmail password or API keys. • Use environment variables (.env) for sensitive credentials. • Avoid executing unknown system commands directly from voice input.

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🧑‍💻 Author

👤 Afsar Azam B.Tech (AI) – Sage University, Indore Frontend Developer | AI & Data Analysis Enthusiast

📧 afsarazam404@gmail.com 🌐 GitHub: Afsar426

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🌟 Future Enhancements • Integration with OpenAI GPT API for natural conversations • Smart home automation • Personalized reminders & task scheduling • GUI dashboard for monitoring actions

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