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@article{184226,
        author = {Aditya Gupta},
        title = {Technical paper for NEO Risk Exploration and Visualization System using NASA NeoWs Data},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {4},
        pages = {648-661},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=184226},
        abstract = {This technical paper presents the design and implementation of an end-to-end system for collecting, processing, and interactively visualizing Near-Earth Object (NEO) data to support planetary defense awareness and education. NEO records were extracted from NASA’s Near-Earth Object Web Service (NeoWs) for the years 2020–2025, cleaned, and engineered into operationally useful features (risk, size, and velocity categories). A Random Forest model was trained, and stored as an optional component for risk scoring, complementing the system’s rule-based logic. Three Streamlit-based graphical user interfaces (GUIs) were developed: (i) a 3D Earth–asteroid visualizer with deterministic radial placement by miss distance, (ii) a planning dashboard that highlights the next 90 days of close approaches with month-wise filtering and an action-recommendation center, and (iii) a launch safety advisor that estimates the proximity of potential impact corridors to major launch sites using a 3D globe.},
        keywords = {},
        month = {September},
        }