WNBA Analytics Dashboard with AI Insights

Overview

This project is an interactive WNBA (Women's National Basketball Association) analytics dashboard powered by Streamlit, LangChain, and Cloudflare Workers AI. It provides comprehensive statistics, player comparisons, and AI-driven insights about WNBA teams and players.

Features

• Player statistics data visualizations
• Player vs Player comparisons
• Interactive map showing WNBA team locations
• AI-powered chatbot for WNBA-related queries powered by Cloudflare Workers AI and LangChain
• Data filtering and sorting capabilities

Technologies Used

• Python
• Streamlit
• LangChain
• Cloudflare Workers AI
• Pandas for data manipulation
• Plotly for interactive charts
• Folium for map visualizations

Getting Started

Prerequisites

• Python 3.7+
• Cloudflare account--you'll need an account ID and Workers AI API token to run the app locally

Installation

1. Clone the repository:

   git clone https://github.com/elizabethsiegle/wnba-analytics-dash-ai-insights.git
   cd wnba-analytics-dash-ai-insights
   

2. Install required packages:

   pip install -r requirements.txt
   

3. Set up environment variables: Create a .env file in the project root and add your Cloudflare credentials:

   CF_ACCOUNT_ID=your_account_id
   CF_AUTH_TOKEN=your_api_token
   

Running the App

1. Start the Streamlit app:

   streamlit run app.py
   

2. Open your web browser and navigate to whatever port it says the app is running on

Usage

• Use the sidebar to filter data and select different views
• Interact with the charts to explore WNBA statistics
• Use the AI chatbot to ask questions about WNBA teams and players