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Hab-eeb/ka_project

34

AI-powered learning pipeline that generates multi-day curricula from any topic and delivers daily MCQ questions via email, with a flask endpoint for answers.

What's novel

AI-powered learning pipeline that generates multi-day curricula from any topic and delivers daily MCQ questions via email, with a flask endpoint for answers.

Code Analysis

0 files read · 3 rounds

A Python CLI application that attempts to generate educational curriculums using Google Gemini but fails to execute due to inaccessible source code.

Strengths

The project claims a modular architecture separating agents, database, email, and web logic. The README provides a detailed feature list including search grounding and daily delivery logic.

Weaknesses

Unable to evaluate actual code quality, error handling, or implementation depth because the source files are inaccessible in this environment. No tests were found in the file tree.

Score Breakdown

Innovation
4 (25%)
Craft
36 (35%)
Traction
5 (15%)
Scope
26 (25%)

Signal breakdown

Innovation

Not Fork+1
Code Novelty+1
Concept Novelty+1

Craft

Ci+0
Tests+0
Polish+0
Releases+0
Has License+0
Code Quality+11
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+0
Early Traction+0
Devto Reactions+0
Community Contribs+0

Scope

Commits+7
Languages+5
Subsystems+5
Bloat Penalty+0
Completeness+6
Contributors+5
Authored Files+8
Readme Code Match+3
Architecture Depth+3
Implementation Depth+8

Evidence

Commits

29

Contributors

1

Files

11

Active weeks

4

TestsCI/CDREADMELicenseContributing

Repository

Language

Python

Stars

1

Forks

0

License