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Releases: IT-School-GoIT/FinalProjectGoitDataScience

release v2.0

28 Aug 20:20

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Release 2.0 - the final deployment is ready for presentation

release v1.2

26 Aug 21:28

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release v1.2 Pre-release
Pre-release
  • Updated README.md — project description, technical specifications, links to documentation were added.
  • Update of game styles and profile page — changes of game style and profile page according to the general style of the project.
  • Chat update — changing styles, setting automatic scrolling to the last message.
  • Image recognition page added - Added a page where the user can upload an image for recognition.
  • Updating the documentation — updating the styles for the documentation to match the overall style of the project.

release v1.1

23 Aug 20:03

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release v1.1 Pre-release
Pre-release

Release 1.1 - Improved Image Classification and Model Integration
In this release, we have added the integration of multiple advanced models for image classification, including:

VGG16: A deep convolutional neural network used for image classification.
Faster R-CNN: A model for detecting objects in images with high accuracy.
Mask R-CNN: An enhanced model for object segmentation in images.
Additionally, we have implemented:

Improved user experience for model selection and configuration.
Enhanced the process for optimizing model performance.
Added advanced image analysis tools to refine classification results.
Users can now choose between different models, configure them, and obtain classification results with higher accuracy and deeper insights. This release is part of our ongoing commitment to providing powerful AI-driven image recognition capabilities.

release v1.0

22 Aug 00:15
417497a

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release v1.0 Pre-release
Pre-release

Release 1.0
Description:
This release includes key features for user authentication via images, gameplay with user victory tracking, and multilingual support for both Ukrainian and English.

Key Features:
Image-based Authentication:

Implemented user authentication via facial recognition using the face_recognition library.
After successful authentication, the user is automatically redirected to the game.
User Profile:

Added the UserProfile model, which stores the user's number of victories in the game.
The user profile displays the username, first name, last name, email, user photo, and the number of victories.
The profile is integrated with the Django Admin for convenient management.
Gameplay:

Implemented a game using the cifar10.keras model.
If the user wins and is authenticated, the number of victories is saved in the UserProfile.
Game results are displayed, with the option to start a new game after completion.
Multilingual Support:

Added language switching on the site: Ukrainian and English.
Ability to toggle between languages on the main pages of the site.
Deployment:

Implemented deployment for project testing on an external server.
Important Improvements:
Django Admin Integration: Provided easy management of user profiles via the admin panel.
User Photo Display: User photos are loaded from the database and displayed in the profile.
This version 1.0 Release Notes can be used to create a release on GitHub, outlining the main features and improvements of the project.

rel_0.1

09 Aug 05:42

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rel_0.1 Pre-release
Pre-release
readme