I’m building a small web application in Python that serves dynamic pages while automatically crunching numeric data behind the scenes. The core of the job is two-fold: create the web layer (a simple Flask or Django setup is fine) and embed a reliable data-processing routine that ingests numeric inputs, performs calculations or transformations, and returns results in real time to the user interface. Key points you will handle: • Web development is the primary goal—clean routing, basic templating, and a lightweight API are enough as long as the code is readable and modular. • The automation focus is data processing, not scraping or generic task scheduling. Expect to work with arrays, statistical operations, or similar numeric workflows. • All inputs are numeric, so design the pipeline for efficient number handling (think Pandas, NumPy, or built-in math where appropriate). Deliverables: 1. Fully functional Python project with a requirements.txt and a brief README explaining setup and usage. 2. Source code for the numeric processing module, documented well enough for me to adjust formulas later. 3. A short video or set of screenshots demonstrating the app running locally. Hand-off is complete once I can run `pip install -r requirements.txt`, start the server, and see the processed numbers update through the web interface without errors.