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flask-web-application

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Fruits-Recognition

This repository contains a project for fruit recognition using the Fruits-360 dataset. The project leverages computer vision techniques, image segmentation, color histogram extraction, and machine learning classifiers to classify fruits into different categories.

  • Updated Jan 20, 2025
  • Jupyter Notebook

Gemini said Statistical engine utilizing Markov Chains to predict word-to-word transition probabilities based on user-provided corpus. Features a reactive Neo-Brutalist frontend with zero-latency local processing for real-time text synthesis. Secure, efficient, and fully compliant with Prodigy Task-03 requirements.

  • Updated Feb 28, 2026
  • CSS

Neural Forensic Engine utilizing Pix2Pix cGANs to translate infrared/thermal signatures into photorealistic RGB reconstructions. Features a high-end Glassmorphism interface with real-time neural processing and secure evidence export. Fully compliant with Prodigy Task-04 requirements.

  • Updated Mar 4, 2026
  • Python

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