Hey devs, sports fans, and data nerds!
After weeks of work, I'm excited to share DeepShot – an advanced NBA game predictor powered by historical data from Basketball Reference, machine learning, and a clean NiceGUI-powered web interface.

🔍 What it does:

DeepShot uses team-level rolling averages (including Exponentially Weighted Moving Averages) to accurately predict NBA game outcomes. All predictions are visualized in real time through a sleek, responsive UI.

🧠 Key Features:

  • 📊 Data-Driven Predictions using past performance & rolling trends
  • ⚡️ EWMA-based Weighted Stats Engine
  • 🌐 Cross-platform interface built with NiceGUI
  • 🔎 Key stats highlight to visualize matchup advantages at a glance

👨‍💻 Tech Stack:

  • Python
  • Pandas, Scikit-learn, XGBoost
  • BeautifulSoup, Requests
  • NiceGUI for the frontend
  • Hosted locally, runs on Windows/macOS/Linux

📥 Clone it here → deepshot
🧠 Want to see how predictive modeling and sports analytics come together? This is for you.

🔁 Feedback, stars, forks, and PRs are more than welcome!
Let me know what you think, or drop your ideas for improvements — always open to suggestions! 🧠