🤖 AI Analysis

Final verdict: SAFE

The package does not exhibit any malicious activities such as network calls, shell executions, obfuscations, or credential risks. The only concern is the low activity and potentially inexperienced authorship, but this alone is insufficient to label it as suspicious.

Low network risk
No shell execution
No obfuscation
No credential risk
Metadata suggests low activity

Per-check LLM notes

Network: No network calls detected, which is normal unless the package requires online services.
Shell: No shell execution patterns detected, indicating no direct system command execution.
Obfuscation: No obfuscation patterns detected, indicating low risk.
Credentials: No credential harvesting patterns detected, indicating low risk.
Metadata: The package shows signs of low activity and metadata quality, which may indicate low effort or inexperience, but there are no clear indicators of malicious intent.

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

✓ Code Obfuscation

No obfuscation patterns detected

✓ Shell / Subprocess Execution

No shell execution patterns detected

✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

Email domain looks legitimate: gmail.com

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

No GitHub repository linked

No GitHub repository link found

⚠ Maintainer History score 6.0

3 maintainer concern(s) found

Only one version has ever been released — brand new package
Author "Jay Navadiya" appears to have only 1 package on PyPI (new or inactive account)
Package has no PyPI classifiers (low effort / metadata quality)

✓ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with Jay-Navadiya-Python-STT

Create a voice-controlled web browser application that leverages the 'Jay-Navadiya-Python-STT' package for speech-to-text functionality. This application will allow users to navigate the internet simply by speaking commands. Here’s a detailed breakdown of the steps and features to implement:

1. **Setup Environment**: Ensure Python is installed on your system. Install the necessary packages including 'Jay-Navadiya-Python-STT', Selenium, and WebDriver Manager.
2. **Speech Recognition Integration**: Use 'Jay-Navadiya-Python-STT' to convert spoken commands into text. This will be the core functionality enabling users to control the application via voice.
3. **Browser Control**: Implement basic navigation commands such as opening a new tab, navigating to a URL, refreshing the page, and closing tabs using Selenium.
4. **Voice Commands Dictionary**: Develop a dictionary of voice commands that map to specific actions in the browser. For example, "open Google" could trigger the action to navigate to google.com.
5. **Enhanced Features**: Consider adding advanced features like searching for content within a webpage, adjusting volume, or even controlling media playback.
6. **User Interface**: Optionally, design a simple UI where users can see their commands being recognized and executed in real-time.
7. **Testing & Debugging**: Test the application thoroughly to ensure smooth operation and address any bugs.
8. **Documentation**: Write clear documentation explaining how to set up and use the application, including any troubleshooting tips.

This project aims to provide a seamless and intuitive way to interact with web browsers through voice commands, making it easier for users who prefer hands-free browsing or have physical limitations.