Chandu0394/AI-NeuroAdvisor

View on GitHub by @Chandu0394

🧠 Enable real-time surgical phase recognition with AI-NeuroAdvisor, leveraging a unique dataset for improved neurosurgical workflow and feedback.

What's novel

🧠 Enable real-time surgical phase recognition with AI-NeuroAdvisor, leveraging a unique dataset for improved neurosurgical workflow and feedback.

Code Analysis

0 files read · 5 rounds

A collection of PyTorch scripts and configuration files for training deep learning models (ResNet, Transformer) on neurosurgical datasets, but the core implementation logic is inaccessible for review.

Strengths

The project structure suggests a well-thought-out research pipeline with separate modules for data loading, model definition, and training/testing. The README provides clear context about the medical application domain.

Weaknesses

Unable to read any core source code files due to environment access restrictions, preventing verification of actual implementation quality, error handling, or algorithmic novelty. The presence of a full virtual environment in the repository is poor practice.

Score Breakdown

Innovation

5 (25%)

Craft

47 (35%)

Traction

11 (15%)

Scope

73 (25%)

Signal breakdown

Innovation

Not Fork+1

Code Novelty+1

Concept Novelty+1

Craft

Ci-3

Tests+8

Polish+0

Releases-2

Has License+0

Code Quality+10

Readme Quality+15

Recent Activity+7

Structure Quality+5

Commit Consistency+2

Has Dependency Mgmt+5

Traction

Forks+0

Stars+6

Hn Points+0

Watchers+3

Early Traction+0

Devto Reactions+0

Community Contribs+2

Scope

Commits+7

Languages+8

Subsystems+15

Bloat Penalty-5

Completeness+6

Contributors+6

Authored Files+15

Readme Code Match+3

Architecture Depth+7

Implementation Depth+8

Evidence

Commits

Contributors

Files

1022

Active weeks

TestsCI/CDREADMELicenseContributing

Repository

Language

Python

Stars

Forks

License

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