Interactive Data Web Apps and Dashboards using Streamlit

Welcome to my Interactive Dashboard service! I specialize in converting static data and Machine Learning models into interactive, user-friendly web applications using the Streamlit framework in Python. What you will get: - Custom-built interactive data dashboards. - Integration of a pre-trained ML model for real-time predictions. - User input widgets (Sliders, Dropdowns, File Uploaders). - Dynamic visualizations using Plotly, Matplotlib, or Seaborn. Specific details for the basic $10 service: 1. Scope of the App: Creating ONE (1) single-page Streamlit web application. 2. Visualizations & Inputs: Includes up to 3 interactive charts and up to 3 user input widgets. 3. Dataset Limit: The app will be connected to a provided static dataset (up to 10,000 rows). 4. Delivery Format: You will receive the clean, commented Python source code (.py file) along with a brief instruction guide on how to run the app locally.