Constant development and improvement of technologies and video gaming industry respectively has always caught attention of professionals from different industries to see potential areas to improve their performance. Often when discussing video games educators focus a lot on the social consequences of video games and see them as a big threat, however a big portion of researches has shown positive impact of video games as well as their educational potential. Since technology is more accessible nowadays and can be found everywhere from homes and schools it is important to maximize the possible positive outcomes it may bring.
This project's main aim is to bring video games into the educational sphere in primary schools to make the process more engaging through competetive games as well as an integration with OpenAI's ChatGPT to ensure children facing issues with certain problems can easily solve them by talking to in-built AI assistant Vitalina.
In order to run the project you need a web-server with the following dependencies:
| Technology | Version |
|---|---|
| PHP | 8.1 or higher |
| PostgreSQL | 13 or higher |
| NPM | 18.19.0 or higher |
| Python | 13.10.0 or higher |
The project was built using the following open source libraries and frameworks:
| Technology | Version |
|---|---|
| Laravel | 10.10 |
| React.js | 1.4.2 |
| Laravel Inertia | 0.6.3 |
| OpenAI PHP Client | 0.8.4 |
First of all you need to install all dependencies. Run the following command:
composer install
npm installAfter the installation completes ensure to build all frontend assets using the following command:
npm run buildOnce assets built is ready ensure to setup all required variables inside .env file, these include but not limited to database connection parameters, OpenAI token. After that the project should be ready to prepare the database for your copy by running:
php artisan migrateOnce the database migration is complete you want to fill the questions table with questions for each available game in order to ensure there is something for the project to display. This can be achieved through either generating them via generator Python scripts included in the project under database/generators or doing so manually.
MIT License
Copyright (c) [2024] [Doston Shametov]
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.