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michaelvega/README.md

πŸ‘‹ Hello, I'm Michael Vega

Welcome to my GitHub! I'm passionate about Social Entrepreneurship, Educational Technology, and Project Management, with a focus on creating impactful, accessible learning experiences.


🌟 About Me

  • πŸ“ Social Entrepreneur with a deep interest in community-driven ventures
  • πŸŽ“ Currently exploring the LEAN Startup Model to drive innovation in education
  • ✨ Founder and Developer of LearnASL.org, a platform dedicated to expanding access to American Sign Language resources with my own computer vision AI feedback model
  • 🌍 Creator of WetHeatWarnings, a tool that tracks wet bulb temperature for 8,000 cities worldwide, addressing an often-overlooked but critical climate metric by web scraping weather databases.

🌐 Connect with Me


Feel free to explore my projects and reach out if you're interested in collaboration!

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  1. WetHeatWarnings WetHeatWarnings Public

    Uses R to visualize a weather data base to predict the Wet Bulb Temperatures for over 8000 cities

    R 3

  2. michaelvega.github.io michaelvega.github.io Public

    This web platform gamifies the American sign language learning process by utilizing AI to intelligently detect hand signs and give the user real-time feedback.

    JavaScript

  3. QuantumTitanicClassification QuantumTitanicClassification Public

    Uses the IBM Quantum's Qiskit Aqua machine to simulate a Quantum Support Vector Machine that classifies whether a passenger on the titanic would have survived or not

    Jupyter Notebook 1 1

  4. FaceDetection FaceDetection Public

    Uses the Viola-Jones face detection algorithm to detect faces in image files with Python

    Python

  5. NeuralNetworks NeuralNetworks Public

    A collection of Neural Networks (Artificial, Convolutional, and Recurrent) utilized for multiclass image classification and natural language processing sentiment analysis.

    Jupyter Notebook 1

  6. MonteCarloWeighting MonteCarloWeighting Public

    Ensembles multiple Monte Carlo simulations to find the greatest returning distribution of weights for the given portfolio

    Python