A User-friendly graphical interface to demonstrate classification of dogs and cats
using a Deep-Learning Model
Aim:
To build a GUI that:
- Accepts input from user in the form of images (JPG/PNG/JPEG)
- Classifies the images into two classes: Cats or Dogs
- Asks the user to check the accuracy of the output
Features:
- Drag & drop support for inputting images
- Ability to calculate the accuracy of the output
- Answers to Frequently Asked Questions (FAQs)
- Simple animations
Tech Stack:
- Python's PyQt6 framework for developing the GUI
- Tensorflow Keras for developing the DL Model
- Adobe for Ui designing and image assets
Made by:
Team ADAM
- Ayushman Rawat (Ui/Ux Designer, Documentation)
- Dhruv Neelesh Gupta (DL Model Developer)
- Aman Shrivastava (DL Model Developer, Documentation)
- Mukund Kukreja (GUI Developer, Tester)
-
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EVE - A User-friendly graphical interface to demonstrate classification of dogs and cats using a Deep-Learning Model
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mk3-20/Eve-Classification-Model
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EVE - A User-friendly graphical interface to demonstrate classification of dogs and cats using a Deep-Learning Model
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