battery: c-rating, amp-hours, watt-hours motor: max power output (wattage), rpm esc: max power rating prop: diameter, material, pitch, blade# leads: length, gauge, connector

^ components and their desired specification related to weight + Monte Carlo method for uncertainty

The goal is to create a regression model using component specifications to find an approximate weight of a propulsion assembly with uncertainties.

Using the standard deviations or uncertainties, one can randomly generate an array of numbers for each component weight with variances within the uncertainty.

This can be repeated for all component masses, and each array is then totaled to get a total mass array. This can then be averaged and the standard deviation can be found.

A secondary priority is to generate a “web-scraping” (WS) code to collect data on websites automatically. Hypothetically, on a singular website, all the component weights and desired specifications can be saved, making the process faster. This WS code could be used for future data gathering in other tasks.