Analysis
View
Metric
- 43
- 12
Figures cover GitHub contributors during the hackathon window. A co-authored commit counts in full for each author, so per-member totals add up to more than the whole-team figures.
Technology
- CSSIn code
- HTMLIn code
- JavaScriptIn code
- PythonIn code
- ReactIn code
- SQLIn code
- Tailwind CSSIn code
- TypeScriptIn code
8 of 8 appear in the indexed code.
AI coding agents
No AI coding agent signals were found in this repository.
Detected from committed agent config files and commit authorship. Absence of a signal is not proof an agent was unused.
Codebase size
Source size
244 KB
Source files
40
Counts recognized source files only; vendored directories, binaries and lockfiles are excluded, so this is smaller than the repository on disk.
Repository
wangd14/berkeley-ai-hack
55 files · 33.2 MB · @ 0850e53
Structure
Interface
27 files · 49%Screens, components and styles rendered to the user.
Application logic
17 files · 31%Domain rules, services and shared utilities.
Data & schema
1 file · 2%Schema definitions, migrations and data access.
Supporting
Layers are inferred from where files sit in the tree, not from reading the code. A project that names its directories unconventionally will read oddly here — open the file browser to check anything the diagram implies.
Languages
- TypeScript91%
- Python5%
- Markdown2%
- CSS1%
- SQL1%
- HTML0%
- Other (1)0%
Share of indexed source by file size. Binary and vendored files are excluded.
Dependencies
frontend/package.json
npm · 20- jwt-decode
- lucide-react
- react
- react-dom
- react-router-dom
- recharts
- +14 more
Declared in the repository’s manifests at the indexed commit. A declared package is not proof it is used, and runtime dependencies are listed first.
This project’s features have not been analysed yet.
Export this project's context (description, README, evidence, key source files) to chat with an AI agent elsewhere.