🤖 AI Analysis

Final verdict: SAFE

The package is assessed as safe due to its clear description, lack of obfuscation, and absence of credential harvesting patterns. There are no indications of a supply-chain attack.

No obfuscation detected
No credential harvesting patterns found

Per-check LLM notes

Obfuscation: No obfuscation patterns detected, indicating low risk.
Credentials: No credential harvesting patterns detected, indicating low risk.

🔬 Heuristic Checks

⚠ Outbound Network Calls score 1.5

Found 1 network call pattern(s)

from OpenCV Zoo...") urllib.request.urlretrieve(_YUNET_URL, model_path) print("Download

✓ 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

No author email provided

✓ 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 "lqmnwido" 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 RojakFace

Develop a personalized photo album application using the 'RojakFace' package, which specializes in modern face recognition techniques. This application will not only organize photos based on recognized faces but also provide a user-friendly interface for searching and managing these photos.

**Features to Implement:**
1. **Automatic Face Recognition:** Integrate 'RojakFace' to automatically recognize faces in uploaded photos. Use the package’s capabilities for face detection and identification to categorize photos into different albums based on the identified individuals.
2. **User-Friendly Interface:** Create a simple web-based interface where users can upload their photos, view categorized albums, and perform searches.
3. **Search Functionality:** Allow users to search for specific people across all albums. Utilize 'RojakFace's vector search feature to enable efficient and accurate searches even when the person’s appearance slightly changes over time.
4. **AI Assistant Integration:** Incorporate an AI assistant within the app that can help users manage their photo albums. The assistant should be able to suggest new categories based on unrecognized faces and recommend photos for manual review.
5. **Privacy Settings:** Implement privacy controls so users can choose who has access to their photos and personal data.
6. **Backup and Sync:** Provide options for users to back up their albums and sync them across devices.

**How 'RojakFace' is Utilized:**
- **Initialization and Training:** Use 'RojakFace' to initialize a model and train it on a dataset of faces from uploaded photos. Ensure the model can adapt as more photos are added.
- **Face Detection & Identification:** Employ 'RojakFace' for real-time face detection in newly uploaded photos and identification against the trained model.
- **Vector Search Implementation:** Leverage 'RojakFace's vector search capability to implement a robust search function that allows users to find photos based on facial similarities.
- **AI Assistant Support:** Utilize the AI assistant feature of 'RojakFace' to enhance user experience by suggesting improvements and assisting with album management tasks.