Inference System for Selecting the Optimal Programming Language.
https://languages.mikoweb.usermd.net
- PHP 8.3
- Symfony Framework 6.4
- TypeScript 5
- Angular Framework 17
- Ionic Components
- REST API
- No database!
There are two multi-select fields Language Usage and Features with AND and OR search methods.
These fields are used to narrow down your results.
There are three fields using fuzzy logic: Minimum performance, Minimum popularity,Language experience - they
take the values Very high, High, Medium, Low, Very low, sometimes None.
Based on these values, a numerical score is calculated using a fuzzy logic mechanism.
There is a selectbox called Popularity - Year where you can select a year from the future.
This is used to change the behavior of the Minimum Popularity field. By default, real data from 2023 are taken.
However, years in the future can be selected and the data is predicted using the linear regression
algorithm sklearn.linear_model.BayesianRidge. A Python command was used to generate the data - ml directory.
The test kit is located in the folder tests.
To run the tests, run the command:
php8.3 composer.phar run test
Data is stored in read-only files in csv and json formats. Most of them were downloaded from kaggle.com.
They are located in the resources/dataset folder.
This data is read and processed by the application only once and kept in memory.
Data is also cached using the Symfony Cache Component. In fact, they are kept in the form of PHP serialization format.
Go to project directory.
To run the backend, use docker:
docker compose up --build
The backend is available at:
http://localhost:8741
Go to frontend directory:
cd frontend
Set api url in the environment variable, i.e. in the file src/environments/environment.ts:
apiBaseUrl: 'http://localhost:8741'
To run the frontend, execute the following commands:
nvm use 20
npm install
npm run start
The frontend is available at:
http://localhost:4200
Copyright © Rafał Mikołajun 2024.