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Used Deep Convolutional Neural Networks to detect Hindi handwritten text with an accuracy of 98.5% and immunes to hazy background. This Real-time Image pre-processing using OpenCV is developed by comparing the various classifiers and algorithms like KNN, SVM etc.

  • Updated Aug 5, 2022
  • Jupyter Notebook

This project analyzes the link between Bitcoin sentiment (Fear & Greed) and trader performance on Hyperliquid. Using 200k+ records, we identify key profitability regimes and use K-Means clustering to segment users into Retail, Scalper, and Whale archetypes. A data-driven guide for optimizing DeFi trading strategies.

  • Updated Apr 21, 2026
  • Jupyter Notebook

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