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real-time-prediction

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The project uses computer vision and machine learning to translate sign language gestures into text, MediaPipe detects handprints, and Random Forest Classifier predicts characters in real time. It recognizes all 26 letters of the English alphabet, providing an intuitive interface to improve communication for people who need to use sign language.

  • Updated Dec 26, 2024
  • Python

This project centers around two primary aspects: the development of a model for the recognition of American Sign Language (ASL) gestures utilizing a dataset, and the real-time prediction of gestures via a camera feed, accompanied by the conversion of these predictions into spoken language.

  • Updated Aug 24, 2023
  • Python

This advanced forecasting tool leverages Long Short-Term Memory (LSTM) networks to predict daily sales for 91 types of pizzas and the required quantities of 64 ingredients. By analyzing historical pizza order data, the system provides accurate future demand forecasts, enabling optimized inventory management and purchase planning.

  • Updated Sep 16, 2024

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