Inspiration

Our project tracks AI job trends, maps in-demand roles and skills, and offers actionable insights for students, professionals, and recruiters preparing for the future.

What it does

We used Python for data analysis, Streamlit for a sleek web interface, and integrated real-time job data from APIs and scraped sources to keep the insights current and relevant.

How we built it

Sourcing clean, reliable job data across regions and industries was tough. We also had to ensure the platform was simple yet rich in features for users of all technical levels.

Challenges we ran into

Sourcing clean, reliable job data across regions and industries was tough. We also had to ensure the platform was simple yet rich in features for users of all technical levels.

Accomplishments that we're proud of

We built a working prototype that visualizes AI job trends and helps users understand what skills to focus on. It’s interactive, insightful, and future-ready.

What we learned

We deepened our knowledge of AI roles, improved our data handling skills, and learned how to present technical insights in a user-friendly way through good UI/UX practices.

What's next for AI job market for 2025

We plan to add personalized career recommendations, resume analysis, and predictive modeling to forecast job market shifts using machine learning.

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