In this context the Anti-Spam System project’s goal has to do with discriminating in an efficient manner against the emerging problem in the sphere of spam email. By implementing machine learning algorithms such as natural language processing together with Artificial intelligence, the AS system will accurately identify spam information flow and block unnecessary messages for the users which in turn will be useful for creation of a healthy and safe social platform for the end users.
In this section the way of running project locally will be shown, it is suggested to follow steps. As well it should be noted, that building of the project can take more time as expected, since some libraries are large.
- Clone the repo
git clone https://github.com/sqdArtemy/anti-spam-system- Compose the docker file
docker compose -f .\devops\docker-compose.yaml up --build
Documentation for this project was made using SRS and SwDD documents, In order to see it, follow the following links:
| Full Name | |
|---|---|
| Artyom Tashyan | [email protected] |
| Ravshan Ubaydullaev | [email protected] |
| Saidjon Khadar-Zade | [email protected] |
| Farrukh Utkurov | [email protected] |
| Komiljon Yuldashev | [email protected] |
| Pavel Tin | [email protected] |