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AeroSpace PathFinder: Smart Drone Tracking via ML

  • 1 Devlogs
  • 4 Total hours

Developing a Machine Learning-based system for autonomous space drone navigation and tracking. The system enables drones to make real-time intelligent decisions to determine the optimal, shortest, and most efficient flight path in space environments.

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3h 39m 42s logged

Devlog Update:I am at the very beginning of my journey learning Python and general programming! In this session, I created my first Python script (nasaproject.py) to practice the fundamentals.Here is what I covered in this code:Variables & Multiple Assignment: Learning how to declare multiple variables in a single line (e.g., name, age).Data Structures (Lists): Defining lists ([]) to store sequence data like names, and understanding how they can hold multiple elements.Data Types & Indexing: Checking variable data types using type() and accessing specific list items using zero-based index numbers (e.g., names[3]).

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