Career Spark

Inspiration

Many teens passionate about entertainment lack guidance. Career Spark democratizes access to personalized career discovery and shows clear paths for skill-building and visibility.

What We Learned

AI can personalize guidance at scale.

Visualization helps users understand their journey.

Modular architecture enables independent development of components.

How We Built It

Frontend: React UI with Explore, AI chat, roadmap, and events pages.

Backend & AI: OpenAI-powered Career Agent, Visual Roadmap Generator using Morbid.js., LandGraph

Integration: Connected exploration, AI guidance, and visual roadmap into a structured flow.

Challenges

Gamified learning engine could not be implemented.

Persona database and entertainment occupation database are incomplete.

Passive engagement metrics are not yet tracked.

Visualization of dynamic roadmaps required iterative experimentation.

Next Steps

Implement gamified learning engine.

Add personalized engagement metrics.

Expand entertainment occupation database.

Introduce real-world mentorship and longitudinal tracking.

Develop a mobile app for on-the-go access.

Scale to reach tens of thousands of teens.

Benefits

Primary Users: Teens (13–21) exploring entertainment careers, especially underrepresented communities.

Secondary Users: Parents, educators, youth organizations, and entertainment companies seeking diverse talent pipelines.

Equity Focus: Teens lacking access to career counselors or industry networks.

Broader Value: Democratizes career discovery, reduces mismatch between talent and opportunity, and addresses diversity gaps.

Built With

• agenticai
• api
• css
• html
• langgraph
• morbid.js
• openai
• python
• react
• vite