# Project export: Ad Intelligence

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## Project metadata

- Hackathon: Cal Hacks 12.0
- Tagline: Powering effective ads.
- Devpost: https://devpost.com/software/ad-intelligence
- GitHub: not linked
- Team: contributor stats unavailable

## Devpost submission (written by the team)

### Inspiration

You are searching for the secret sauce for effective video advertising in today's crowded market and come to Ad Intelligence. Ad Intelligence distills the strategies of major brands like Amazon, Domino's, and Chevrolet into actionable creative blueprints that you, as a small business, can adopt immediately.

### What it does

This tool takes in video advertisements to extract key features from these videos. These features can be used to analyse what makes a video advertisement effective and perform well (conversion, engagement, etc).

### How we built it

I used MediaPipe, Gemini API, FFmpeg, FFprobe APIs.

### Challenges we ran into

Initially, I used Gemini API to process all the video data to transcribe the entire video. However, I quickly ran out of API credits and hence, had to transition into using a different API.

### Accomplishments we're proud of

I am proud of coming out with meaningful features in my opinion.

### What we learned

I learnt to connect to a bunch of different APIs, Windsurfer IDE and improved my debugging skills to achieve my intended functionality.

## README (from the GitHub repository)

No README available.

## Detected evidence (automated analysis)

No repository was indexed for this project. Claimed technologies below could not be checked against code.
- Google Gemini (technology) — claimed on Devpost, not found in the code
- Hugging Face (technology) — claimed on Devpost, not found in the code

## Codebase structure

No repository index available.

## Key source files

No repository index available; no source files included.