README.md

---
title: AIAdServerOptimizer
emoji: 🌍
colorFrom: pink
colorTo: blue
sdk: gradio
sdk_version: 4.31.5
app_file: app.py
pinned: false
---

Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

# AI Ad Server Optimizer

## Overview
The AI Ad Server Optimizer is a Python-based application designed to enhance ad performance through data-driven insights. It utilizes machine learning models to cluster user behavior and provides actionable insights to optimize ad targeting and engagement.

## Features
- **Cluster Prediction**: Predicts user behavior clusters based on session data.
- **Ad Performance Analytics**: Summarizes key ad performance metrics like Click-Through Rate (CTR), Conversion Rate, and Bounce Rate.

## Technology Stack
- Python 3.8+
- Pandas for data manipulation
- Scikit-learn for machine learning tasks
- Gradio for creating interactive web interfaces

## Installation
Ensure you have Python 3.8 or higher installed. Clone the repository and install the required dependencies:
```bash
git clone https://github.com/trilogy-group/Skyvera-AI.git
cd scripts/AIAdServerOptimizer
pip install -r requirements.txt
```

## Usage
Run the application with:
```bash
python scripts/AIAdServerOptimizer/app.py
```
Navigate to the provided local URL to access the interactive web interface.

## Contributing
Contributions are welcome! Please fork the repository and submit pull requests with your enhancements. Ensure you follow the existing code style