What is Final-Year-Thesis?
Final-Year-Thesis is a health that A privacy-preserving AI health recommendation engine using Two-Tier Architecture.. It has a Nerq Trust Score of 44/100 (E). 1 GitHub stars. Published by Leo083311. Last analyzed September 2026.
Why This Score
- ⚠️ Security: 0/100 — Some security concerns
- ⚠️ Maintenance: 1/100 — Maintenance activity is low
- ⚠️ Community: 1 stars, 0 downloads — Growing community
- ⚠️ Transparency: License: Not specified — No license specified
Trust & Safety Overview
What Final-Year-Thesis Does
Final-Year-Thesis is a tool in the health category. A privacy-preserving AI health recommendation engine using Two-Tier Architecture.. It is published by Leo083311 and has no specified license. With 1 GitHub stars and 0 downloads, it has a small community of users and contributors.
Who Should Use Final-Year-Thesis
Final-Year-Thesis is recommended only for experimental use. Consider alternatives with higher trust scores for production systems.
Details
| Author | Leo083311 |
|---|---|
| Category | health |
| License | Not specified |
| Type | tool |
| Source | View on GitHub |
| Security Score | 0/100 |
| Activity Score | 1/100 |
How to Get Started
Check the trust score before installing:
curl nerq.ai/v1/preflight?target=final-year-thesis
Setup guide · Full safety report · Production review · Is it safe?
Safer Alternatives
| Tool | Trust | Stars |
|---|---|---|
| MedicalGPT | 52 | 4.8K |
| open-health | 52 | 3.8K |
| Awesome-AI4Med | 50 | 2.5K |
| medical-o1-reasoning-SFT | 52 | 1.1K |
| BianQue | 47 | 863 |
Frequently Asked Questions
Last updated September 2026. Trust scores based on automated analysis of public data.