README.md

metadata

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:

git clone https://github.com/trilogy-group/Skyvera-AI.git
cd scripts/AIAdServerOptimizer
pip install -r requirements.txt

Usage

Run the application with:

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