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nathan-probert/README.md

Hi, I'm Nathan Probert πŸ‘‹:

πŸ€– Recent Projects:

  • 🧠 Imaginate
    • Co-developed a full-stack image guessing game using React and Flask, aimed at helping users learn to spot differences between AI-generated and authentic images based on a daily theme
    • Built a text-to-image generation pipeline leveraging Hugging Face Diffusers and PyTorch for creating lifelike images, automating prompt generation with LLaMA 3.1, and integrating MongoDB for streamlined data handling and storage
    • Constructed a CI/CD pipeline with GitHub Actions and AWS CloudFormation to automatically build, test, and deploy AWS Lambda functions, reducing development cycle time by 50%
  • πŸ’ SmartScore - Predict NHL Goalscorers
    • AI application designed for Tim Horton's Hockey Challenge, predicts players probability of scoring in a NHL game
    • Used machine learning with TensorFlow, pandas and NumPy to build an AI model using multiple linear regression
    • Enhanced accuracy significantly by optimizing the AI model's metrics, elevating pick rate from 26% to 34%
    • Actively implementing AWS Lambda functions to optimize serverless data collection and distribution
    • Developed a Restful API to seamlessly integrate with full-stack applications, enhancing user experience
    • Utilizes Draftkings API to provide precise recommendations for strategic betting decisions based on real-time data
  • 🌐 Portfolio Website
    • Built a responsive and dynamic portfolio website using Next.js, focusing on server-side rendering and seamless navigation.
    • Leveraged npm for efficient package management, enhancing the project’s maintainability
    • Utilized React JavaScript library to build dynamic and high-performing user interface components
  • πŸ”  Wordle Solving Bot
    • Constructed a bot that analyzes a dictionary of possible words to solve the popular online game Wordle
    • Implemented a logical algorithm that formulates guesses crafted to eliminate the maximum number of alternatives
    • Created a comparison algorithm that dissects the ideal words and selects the word with the greatest popularity

πŸ’» Tech Stack:

C CSS3 HTML5 Java JavaScript LaTeX Python R Netlify AWS Anaconda Django NPM OpenCV NodeJS React MongoDB Keras Matplotlib NumPy Pandas TensorFlow Docker Gradle

🌐 Socials:

LinkedIn

πŸ“Š GitHub Stats:

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