Inspiration
We noticed celebrities share tons of public activity — hobbies, charity events, collaborations — but it’s hard to connect with them or discover opportunities. CelebConnect was inspired by the idea of turning these social signals into actionable collaboration opportunities.
What it does
CelebConnect analyzes celebrity posts to detect shared interests and collaboration needs. It automatically generates smart outreach emails and, if direct contact isn’t possible, routes introductions through trusted contacts. It turns scattered social activity into real partnership opportunities.
How we built it
Frontend: React + Tailwind, simple Instagram/LinkedIn-style feed. Backend: Python FastAPI with a local JSON database for celebrities, posts, and contacts. Matching engine: Calculates keyword involvement, identifies top interests, detects collaboration intent, and generates personalized emails. Email logic: Mock email sender prints professional outreach emails to the console.
Challenges we ran into
Designing a simple yet functional matching algorithm for both social engagement and collaboration requests. Simulating realistic celebrity posts and contacts while keeping JSON data manageable. Ensuring email generation felt personalized without overcomplicating the prototype.
Accomplishments that we're proud of
Built a fully working end-to-end prototype in one day. Developed an AI-style matching engine that identifies shared interests and collaboration opportunities. Created a clean, interactive frontend that demonstrates analysis, suggestions, and generated emails.
What we learned
Translating public social activity into actionable insights is challenging but feasible. Mocking real-world data and networks can effectively showcase complex backend logic. Hackathon prototypes work best when scope is limited but fully functional.
What's next for CelebConnect
Add full contact-tree routing for unreachable celebrities. Expand the collaboration types beyond hobbies and actor requests (e.g., musicians, speakers). Incorporate real-time data from social platforms. Improve frontend to feel like a real social network with interactive feeds and filters.
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