Nora is an intelligent virtual assistant designed to enhance daily productivity and provide entertainment through voice commands. It integrates with advanced AI technologies, including OpenAI's GPT models for dynamic conversation and decision-making capabilities.
- Voice Commands: Interact with the assistant through spoken commands for a hands-free experience.
- Communication: Send and receive emails automatically.
- Web Automation: Perform web searches, control web-based media, and automate repetitive tasks.
- Information Retrieval: Access real-time weather updates, news briefings, and knowledge from Wikipedia.
- Media Management: Play videos and music through voice commands.
- Professional Tools: Record and summarize meetings, manage reminders, and more.
- Environment Setup:
- Ensure Python 3.8+ is installed.
- Verify audio hardware is properly configured.
- Clone the Repository:
git clone https://your-repository-url/JARVIS-2.0.git cd JARVIS-2.0
- Dependency Installation:
pip install -r requirements.txt
- Configure API Keys:
- Place all necessary API keys in
secrets_1.py
or use environment variables for better security.
- Place all necessary API keys in
To start JARVIS, run:
python Nora.py
Interact with JARVIS using natural language. Example commands include "Play the news," "Send an email to John," or "What's the weather today?"
Contributors are encouraged to submit pull requests with new features, tests, or bug fixes. For major changes, please open an issue first to discuss what you would like to change.
- Secure storage of API keys and personal data.
- Regular updates of dependencies to mitigate vulnerabilities.
Nora is released under the MIT License.
Introduction
- Overview of Nora
- Installation guide
Getting Started
- Starting the assistant
- Basic commands and interactions
Features
- Detailed walkthrough of each feature
- Examples of complex command sequences
Troubleshooting
- Common issues and their solutions
FAQs
- Answers to frequently asked questions
Contact Information
- How to get support
AGI.py Example:
import pyttsx3 # Text-to-speech conversion library
import speech_recognition as sr # Library for performing speech recognition
# Function to capture audio and recognize speech
def listen_and_interpret():
r = sr.Recognizer()
with sr.Microphone() as source:
audio = r.listen(source)
try:
return r.recognize_google(audio)
except sr.UnknownValueError:
return "I didn't catch that. Could you repeat, please?"
# Main loop for continuous listening
while True:
command = listen_and_interpret()
if 'exit' in command:
break
else:
process_command(command)