This is a submission for the Hacktoberfest Weekend Challenge: Build for a Friend Pathwise is an AI-powered career decision platform designed specifically for my friend who is currently struggling with severe post-graduation career paralysis.
Instead of traditional, static career counseling that leaves them anxious, Pathwise acts as a "Future Me Simulator." It takes their skills, interests, and industry trends to simulate concrete outcomes for different career paths. It breaks down their long-term goals into visual Risk Radars, actionable 5-year Project Roadmaps, and Confidence Scores—all presented in a clean Bento-grid dashboard to turn abstract career anxiety into actionable clarity.
**Live Demo:** [https://pathwise-cl9l.onrender.com](https://dev.toh)*
{[https://github.com/ursarthak001/PATHWISE](https://github.com/ursarthak001/PATHWISE)}
I built the entire application using open-source tools and open-weight models:
Open innovation was absolutely critical to this project because career aspirations and anxieties are highly personal. By building on open-weight models like Gemma, I wasn't locked into expensive, opaque proprietary APIs that might quietly ingest my friend's vulnerable data.
Furthermore, the open-source ecosystem—from Python's robust libraries to the accessible Hugging Face hub—allowed me to build, iterate, and deploy a professional-grade AI application over a single weekend without spending a dime on enterprise software. Open innovation democratizes the ability to solve hyper-specific, personal problems using world-class intelligence.
Throughout this time-crunched weekend, I heavily utilized my local AI agent to troubleshoot localhost connection errors, bypass terminal Git issues via GitHub Desktop, and successfully deploy the repository securely to the cloud before the deadline.