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FelineCanine: Pawsitively Classy - Cats Vs Dogs Classification Flask

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Detail Description

Abstract

This project implements a Convolutional Neural Network (CNN) model to distinguish between cat and dog images. The model is integrated into a Flask web app that allows users to upload images and receive instant classification results. The system improves efficiency in animal recognition tasks and showcases the power of deep learning in image classification.


Existing System

  1. Manual image sorting
  2. Basic image processing techniques
  3. Rule-based classification


Proposed System

  1. CNN-based image classification model
  2. Flask web interface for image upload and prediction
  3. Real-time classification results


Software Requirements

🔹 Programming Language

  1. Python 3.x

🔹 Libraries & Frameworks

  1. TensorFlow / Keras or PyTorch
  2. OpenCV
  3. NumPy, Pandas
  4. Matplotlib
  5. Flask (for web application)

Development Tools

  1. Jupyter Notebook / VS Code / PyCharm
  2. Git (version control)
  3. Web browser (Chrome, Edge, etc.)



Hardware Requirements

🔹 Minimum Requirements

  1. Processor: Intel i3 or equivalent
  2. RAM: 4 GB
  3. Storage: 5–10 GB free space
  4. Webcam (optional for live testing)
  5. OS: Windows / Linux / macOS


Recommended Requirements

  1. Processor: Intel i5/i7 or AMD Ryzen
  2. RAM: 8–16 GB
  3. GPU: NVIDIA GPU (optional for faster training)
  4. SSD storage for better performance





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FelineCanine: Pawsitively Classy - Cats Vs Dogs Classification Flask
₹4,999.00 ₹0.00
₹4,999.00
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