🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows no signs of immediate threat but its minimal metadata and lack of description raise concerns about its legitimacy and purpose.

Minimal metadata indicating low effort or inexperience
No package description provided

Per-check LLM notes

Network: No network calls detected, which is normal if the package does not require internet access.
Shell: No shell execution detected, indicating the package does not execute external commands.
Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent.
Credentials: No credential harvesting patterns detected, suggesting safe handling of secrets and credentials.
Metadata: The package appears to be newly created with minimal activity and metadata, which could indicate low effort or inexperience.

🔬 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 "Vyom Upadhyay" 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 NetHyTech-STT-Vyom

Create a voice-controlled personal assistant application using the Python package 'NetHyTech-STT-Vyom'. This application will allow users to interact with their devices hands-free, making it perfect for situations where manual interaction might not be possible or convenient. Here’s a step-by-step guide on how to build this application:

1. **Setup Environment**: Begin by setting up your Python environment. Ensure you have Python installed and then install the necessary packages including 'NetHyTech-STT-Vyom' using pip.

2. **Design User Interface**: Design a simple graphical user interface (GUI) using Tkinter or PyQt. This GUI will display the transcribed text and provide buttons to start/stop listening.

3. **Integrate STT Functionality**: Use 'NetHyTech-STT-Vyom' to convert spoken words into text. Implement a function that listens to the user's voice input, processes it through the STT engine provided by the package, and then displays the recognized text on the GUI.

4. **Add Commands Recognition**: Extend the functionality by adding command recognition. For example, the assistant could respond to commands like 'open website', 'set timer', or 'send email'. Each command would trigger a specific action based on predefined logic.

5. **Enhance with TTS (Optional)**: Optionally, integrate Text-to-Speech functionality so that the assistant can also speak back responses. This would require another package such as gTTS or pyttsx3.

6. **Testing and Refinement**: Test the application thoroughly under different conditions and refine the STT accuracy and command recognition.

Suggested Features:
- Real-time transcription of spoken words into text.
- Command-based actions (e.g., opening URLs, setting timers).
- Voice feedback for confirmation of commands executed.
- Adjustable sensitivity settings for better performance in noisy environments.