# Snow Optima AI

- **Event:** [Silicon Valley AI Hub Hackathon](https://cerebralvalley.ai/e/svai-hub-hackathon)
- **When:** Fri, Sep 26 at 9:00 AM – 8:00 PM (PDT)
- **Where:** 135 Constitution Dr 8th floor, Menlo Park, CA
- **Placement:** 1st Place
- **Team:** [Bharat Bhavnasi](https://cerebralvalley.ai/u/bvsbharat), [Deepak Yadlapalli](https://cerebralvalley.ai/u/optimus_prime), [mayur katariya](https://cerebralvalley.ai/u/mayurk), [Uday Reddy Malgireddy](https://cerebralvalley.ai/u/ud5678)
- **GitHub:** https://github.com/bvsbharat/creative-cat
- **Demo video:** https://youtu.be/E9OZ_naEk3Y
- **Gallery:** https://cerebralvalley.ai/e/svai-hub-hackathon/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/svai-hub-hackathon/hackathon/gallery/16

Advertisers struggle to optimize campaigns across budgets, targeting, creatives, and engagement. Traditional tools fail to unify campaign data, product info, and customer feedback, leaving fragmented insights and missed ROI opportunities.

Solution: Snow Optima AI
Snow Optima AI is an industry-agnostic platform that unifies structured and unstructured data to tackle ad optimization. Built with Python & Fast MCP for agent orchestration and Snowflake Cortex services: Cortex Analyst processes structured campaign data, Cortex Search ingests PDFs and reviews, and Cortex Agents integrate insights into a unified strategy. NLP extracts sentiment and relevance, while multimodal AI fuses campaign, product, and customer signals. A Next.js dashboard delivers interactive insights, with a recommendation engine suggesting budget shifts, keyword refinements, and creative adjustments. Automated reporting produces manager-ready summaries, and Docker ensures scalable deployment. Showcased with Amazon Ads

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