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Andrew M
Andrew M

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FuturePath: AI Career Mentorship for Teens Built with Bolt at the World’s Largest Hackathon

WLH Challenge: Building with Bolt Submission

This is a submission for the World's Largest Hackathon Writing Challenge: Building with Bolt.

FuturePath: Empowering Teenagers with AI Mentorship

In a world where teenagers are overwhelmed with choice and under-supported by resources, FuturePath was created to offer clarity in the chaos.
We saw a simple but profound gap: while industries evolve overnight and career paths shift with new technologies, students—especially in high school — often receive the same generic advice handed out decades ago. Career exploration tools are outdated and most teenagers are left navigating their futures with little more than having to guess.

That’s where FuturePath steps in. Born during the World’s Largest Hackathon: Building with Bolt, FuturePath is a web platform that reimagines how career guidance works. It delivers personalized AI mentorship, real-time opportunity matching, resume-building tools, and career roadmaps — all designed specifically for teens aged 13–18. At its core, FuturePath is built on a bold mission: to democratize personalized career guidance using AI and make it accessible to every student, no matter their background or location.


How Bolt.new Transformed Our Development

Bolt was the backbone of FuturePath’s infrastructure. We used Bolt to quickly build and deploy dynamic features without worrying about scaling or latency. From running scheduled scrapers that collect new scholarships and internships each week, to processing resume templates and managing the PDF downloads, Bolt’s rapid development environment allowed us to iterate fast and deliver functionality that normally takes weeks — within only days.
The AI mentor was also integrated using Bolt’s workflow automation and secure API endpoints. We embedded vector memory so the AI could maintain conversational continuity — remembering the student’s name, goals, and previously discussed plans. This enabled something more powerful than a chatbot: an AI guide that grows with the student over time.


What We Built — A Platform Designed for Real Teens

One of our biggest design choices was to build for teens, not for job seekers or professionals. The UI is visual, interactive, and motivational. Students start by taking a brief career interest survey. Based on this, the AI generates a list of careers that align with their goals, personality, and skills. But the experience doesn’t stop there — they’re also given a step-by-step roadmap: courses to take, internships to apply for, and skills to develop over the next few years.


Our Technical Journey

Building FuturePath required a modular, scalable stack that could evolve quickly while handling complex user flows, AI interactions, and dynamic content generation. We chose technologies that would let us move fast without sacrificing long-term flexibility.

For the frontend, we used Next.js paired with TailwindCSS to build a responsive, teen-friendly UI. Every interaction — from the career quiz to roadmap visualizations to discovering colleges - was designed to feel intuitive and modern.

On the backend, Bolt powered our core services. We used Bolt’s serverless functions to create custom API and process user data securely. The ability to deploy and update logic instantly through Bolt allowed us to move with startup-level speed.

For our AI engine, we integrated Gemini, enhanced with embedded memory via Supabase. This let the AI remember a student’s prior goals, preferences, and progress, giving it the ability to act more like a long-term mentor than a one-time assistant.

We used Supabase not just for AI memory, but also for user authentication, data storage, and tracking individual progress—tying everything together with real-time updates and reliability.

In the end, our technical journey wasn’t just about choosing the right tools—it was about making them work together in service of a deeply human goal: giving students real, personalized guidance for their future.


Lessons Learned

Building FuturePath taught us that AI + empathy is the future of education. Teens don’t just want options—they want someone (or something) to guide them. One student tester said, “It’s like having a counselor that finally gets me.”

We learned that building fast doesn't mean building shallow — especially with Bolt. It gave us the speed of no-code platforms with the control of full-stack development.


What’s Next for FuturePath

Our vision is bold: a world where every teenager graduates high school with confidence and a concrete plan. Whether they want to be a marine biologist, software engineer, social worker, or entrepreneur, they deserve a roadmap — and someone (or something) to walk with them.

We plan to keep expanding FuturePath by:

  • Adding AI interview coaching (tavus ai calls)
  • Option where you can talk with an AI (like talking to a counselor)
  • Adding a premium feature
  • Building gamified achievement systems
  • System where you can follow/friend and add other people
  • Partnering with schools and youth nonprofits
  • Launching a mobile-first version for lower-access regions

Final Thoughts

Participating in the World’s Largest Hackathon gave us more than just a deadline—it gave us a launchpad. Bolt made it possible for a small team to build a big vision. And FuturePath is just the beginning.


Submission

This is a solo submission for the World’s Largest Hackathon: Building with Bolt, published by @discovered12345 .

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