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Anomaly Detection
Streamlit Chatbot

Streamlit Chatbot

Use Prophet para detecção de anomalias e consulte com Chatbot

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What is Streamlit Chatbot ?

Streamlit Chatbot is an open-source tool designed for anomaly detection using Facebook Prophet. It combines powerful time-series forecasting capabilities with an interactive chatbot interface to help users analyze and understand data patterns. This tool is ideal for real-time data analysis and provides a user-friendly way to interact with complex data insights.

Features

  • Integration with Facebook Prophet: Leverage Prophet's advanced time-series forecasting for anomaly detection.
  • Conversational Interface: Engage with data insights through natural language interactions.
  • Real-Time Analysis: Process and analyze data in real-time for timely decision-making.
  • Anomaly Detection: Automatically identify unusual patterns in your data.
  • Customizable Alerts: Set up notifications for detected anomalies.
  • Data Visualization: Utilize Streamlit's built-in visualization features for clear data representation.
  • Cross-Platform Compatibility: Run on multiple operating systems, including Windows, macOS, and Linux.
  • Extensible Architecture: Easily extend or modify the chatbot's functionality to meet specific needs.

How to use Streamlit Chatbot ?

  1. Install Dependencies: Ensure you have Python, Streamlit, and Facebook Prophet installed. Run pip install streamlit prophet in your terminal.
  2. Prepare Your Data: Format your data with timestamp and value columns, ensuring it's ready for time-series analysis.
  3. Launch the Chatbot: Execute the Streamlit app with streamlit run your_script.py.
  4. Interact via Chat: Use the chat interface to ask questions or provide data for analysis.
  5. Review Insights: The chatbot will deliver insights, forecasts, and anomaly alerts based on your input.
  6. Deploy if Needed: Share or deploy the app within your organization using Streamlit's sharing features.

Frequently Asked Questions

What is Facebook Prophet?
Facebook Prophet is an open-source forecasting tool developed by Facebook (now Meta). It is specifically designed for time-series data and is known for its simplicity and accuracy in handling multiple seasonality with non-linear trends.

What kind of data can I analyze with Streamlit Chatbot?
You can analyze any time-series data with a timestamp and value column. Common use cases include website traffic, sales data, sensor readings, and more.

Can I customize the chatbot's responses?
Yes, the chatbot's responses can be customized to better suit your specific use case. You can modify the underlying logic or integrate custom anomaly detection rules as needed.

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