Project Info

LockedIn

Devpost

This project did not submit a demo video on Devpost.

Inspiration

We saw a lot of people at the event hiring and attended the Hume AI workshop so we put 2 and 2 together

What it does

We built an AI LLM Interview Simulation

How we built it

We utilized Prompt Engineering and Next.js framework.

Challenges we ran into

Learning Next.js and integrating languages we already know.

Accomplishments we're proud of

Making the button to connect the front to the back end and navigating pages

What we learned

We learned how to navigate github and version control as a team for the first time

What's next

We hope to spread the idea to get people more interested. Potentially if we gain more experience we can launch LockedIn in a bigger scale.

Analysis

Compare with all teams

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Metric

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

Found in codeClaimed only
  • CSSIn code
  • JavaScriptIn code
  • Next.jsIn code
  • ReactIn code
  • Tailwind CSSIn code
  • TypeScriptIn code
  • Google GeminiClaimed
  • Node.jsClaimed

6 of 8 appear in the indexed code. 2 claimed on Devpost could not be matched to code, which may simply mean the tool leaves no trace in the repository.

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

177 KB

Source files

29

Counts recognized source files only; vendored directories, binaries and lockfiles are excluded, so this is smaller than the repository on disk.

0 stars