Project Info
This project did not submit a demo video on Devpost.
Inspiration
We were inspired by the issues related to coughing especially with regards to sickness.
What it does
We have two programs, one that analyzes sounds to determine types of coughing/wheezing. The other uses an AI to detect movement, which acts as a controller to a maze game.
How we built it
We utilized HTML, CSS, and Javascript to create these two programs.
Challenges we ran into
We had some trouble finalizing our ideas and researching methods to accomplish our ideas.
Accomplishments we're proud of
The system appears to work to a certain extent.
What we learned
We learned about the design process and how it is both iterative and useful. We also learned more about making machine learning models.
What's next
The goal is to be able to better develop the system so it can more seamlessly function. Then, for the maze idea, we hope to be able to apply it into VR headset systems. For the cough project, we hope to consult medical specialists to see how it can be improved and initially applied in scale.
This repository has no readme, or GitHub could not be reached.
Analysis
View
Metric
- 1
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
3 of 3 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
26 KB
Source files
3
Counts recognized source files only; vendored directories, binaries and lockfiles are excluded, so this is smaller than the repository on disk.
Repository
LizzyC-115/AI-Mini-Programs
8 files · 5.7 MB · @ b416609
Structure
Interface
2 files · 25%Screens, components and styles rendered to the user.
Application logic
3 files · 38%Domain rules, services and shared utilities.
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
- JavaScript82%
- CSS10%
- HTML9%
Share of indexed source by file size. Binary and vendored files are excluded.
This project’s features have not been analysed yet.
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