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AI Portfolio Built with Google Antigravity & Cloud Run

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Mangesh Raut, a Drexel University master's student, built an interactive portfolio using Google Antigravity as an AI co-pilot and deployed it on Google Cloud Run. The project showcases a chatbot powered by Gemini 2.0 Flash and a glassmorphism UI, aiming to demonstrate how portfolios can become live, agentic web applications.

The tech stack includes Python 3.12 with FastAPI, Tailwind CSS, and JavaScript ES2024+. Raut used Antigravity to prototype 10x faster and debug async streaming logic. The portfolio features a real-time GitHub API integration and a hidden HTML5 Canvas game, achieving over 90 on Lighthouse performance scores despite its visual complexity.

This submission for a Google AI challenge highlights a shift toward AI-augmented development tools. Antigravity acts as a full-stack assistant, while Cloud Run's serverless scaling handles traffic. The project suggests future portfolios may rely on AI for both creation and user interaction, moving beyond static pages.