SkillSync AI

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  The starting point: A sleek, dark-mode interface where users input their skills to begin the AI-driven barter analysis process.

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  The output: SkillSync AI generates a compatibility score, synergy breakdown, and a custom 4-week roadmap for a successful trade.

Inspiration

I wanted to turn my previous manual bartering project into something intelligent. Most people want to trade skills but don't know how to value them or where to start. SkillSync AI solves that.

What it does

It’s an AI-Powered Trade Consultant. You enter what you teach and what you want to learn, and the AI calculates a Compatibility Score, explains the Synergy, and builds a 4-week learning roadmap for both users.

How I built it

Language: Python

Framework: Streamlit (for a fast, professional UI)

AI: Groq AI

Styling: Custom CSS for a sleek dark-mode look.

Challenges I faced

I first used Google Gemini API key and hit major API 404 errors where the library couldn't find the models. Due to the Free tier in Gemini API key, it can't do advanced analysis, so I changed to Groq API key, so that it works well when deployed.

What I learned

I learned how to manage API Secrets securely and that a simple, working prototype is better than a complex, broken one.

What's next

Adding a global database so students from different colleges can find their perfect "Trade Partner" automatically.

Built With

• github
• groqapi
• python
• streamlit