Hackathon / 2024
AI Performance Marketing SaaS
From competitor ads to clearer decisions. An AI-assisted marketing workspace.
The problem
Marketers need to make sense of fragmented competitor advertising data before it can inform a campaign.
My role
Frontend, AI workflow, analytics experience.
Competitive ad intelligence, campaign analysis, and explainable AI recommendations developed for Hackbuild 2.0.
The approach
- Built a FastAPI backend with a Universal Adapter pattern to standardize ad data, including Meta Ad Library.
- Designed a React interface for the competitor ad feed and strategy simulation.
- Integrated Groq-powered Llama 3 insights and explainable AI features to make recommendations easier to inspect.
The toolkit
The outcome
Received recognition at GDGVITM Hackbuild 2.0 for the AI-driven performance marketing platform.
A hackathon project. Commercial revenue, customer adoption, and campaign uplift have not been documented.
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