Project Info

JobCat

Devpost

Inspiration

As our graduation date looms close, we are in the thick of the job search process, and tracking our job applications has a myriad of benefits that keep us proactive and organized during the process. Tracking helps us monitor deadlines and better prepare for interviews by retaining key details from job descriptions. Tracking also helps prevent sending duplicate applications to the same company and shows our progress over time, keeping us motivated and accountable during the often lengthy job hunt. However, with large amounts of job applications, tracking each one manually can be extremely tedious and quickly become overwhelming.

What it does

Enter JobCat, your personal job search assistant. JobCat keeps your application information organized and easy to access. It automatically scans and summarizes your job application status directly from your email inbox. JobCat tracks the company, position, mode (remote, onsite, etc.), location, salary, application date, status (interview, offer, rejected, etc.), and job description for a job application.

How we built it

JobCat is built with Reflex, Python, LangChain, and Groq. Our cat mascot was made using Figma.

Challenges we ran into

Unfamiliar frameworks and API: Reflex, LangChain, Groq Slow WiFi Running Python on Windows

Accomplishments we're proud of

Dynamic updates UI Design AI integration

What we learned

Reflex LangChain Groq

What's next

There are many additional features we hope to add to further enhance the job search experience: SMS notifications for application status updates Tailored interview prep based on the job posting and the user's experience Custom AI-powered resume and cover letter building

Analysis

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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
  • PythonIn code
  • LangChainClaimed

2 of 3 appear in the indexed code. 1 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

104 KB

Source files

47

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

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