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This project is a deep learning-based image classification system that uses EfficientNet for accurate identification of fruits and vegetables from uploaded images. Built with TensorFlow and deployed using Streamlit, it provides a user-friendly interface, confidence scores, and visualization of predictions.

  • Updated Feb 16, 2025
  • Jupyter Notebook

Stock Trend Prediction with LSTM is a powerful tool designed to empower users with insights into the dynamic world of stock market trends. Leveraging cutting-edge technologies such as Long Short-Term Memory (LSTM) networks and real-time data from Yahoo Finance, this project enables users to forecast future price movements of stocks with precision.

  • Updated Jun 12, 2024
  • Jupyter Notebook

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