CPSC 483 Term Project

Authors: Joshua Holman and Kevin Ramirez

---

Abstract

• Find patterns and create data visualizations between UFO sightings across the US.
• Create model to predict locations of future sightings.
• Incorporate weather data for stronger models and visualizations.

Datasets used

UFO Sightings

UFO Sightings Analysis Web Application

A web application that analyzes UFO sighting patterns and provides predictions using machine learning.

Features

• Interactive map visualization of UFO sightings
• Monthly sighting distribution analysis
• Text analysis of sighting descriptions
• Machine learning-based sighting prediction

Setup Instructions

1. Clone this repository to your Replit workspace
2. Ensure all required packages are installed from pixi.toml
3. Run the model training first:

   python train_model.py
   

4. Start the web application:

   python app.py
   

Data Analysis

The application includes:

• Geospatial visualization using Plotly
• Time-based analysis of sighting patterns
• Natural language processing of sighting descriptions
• Machine learning predictions for future sightings