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Social networking platform with automated content moderation and context-based authentication system
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nz-m/SocialEcho
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A social networking platform with automated content moderation and context-based authentication system.
The project is a social networking platform built using the MERN (MongoDB, Express.js, React.js, Node.js) stack. It incorporates two major features: an automated content moderation system and context-based authentication. These features are accompanied by common functionalities found in social media applications, such as profile creation, post creation and sharing, liking and commenting on posts, and following/unfollowing users.
The platform's automated content moderation system utilizes various NLP (Natural Language Processing) APIs. These APIs include:
- Perspective API: Used for filtering spam, profanity, toxicity, harassment etc.
- TextRazor API: Integrated for content categorization.
- Hugging Face Interface API: Utilized with BART Large MNLI for content categorization.
A Flask application has been developed to provide similar functionality as the Hugging Face Interface API's classifier. The Flask app utilizes the BART Large MNLI model. It operates as a zero-shot classification pipeline with a PyTorch framework.
The system allows flexibility in choosing different services for API usage or disabling them without affecting overall functionality by using a common interface for interacting with the APIs.
When a user posts content, it undergoes a thorough filtering process to ensure compliance with the community guidelines. Additionally, users have the ability to report posts that they find inappropriate, which triggers a manual review process.
The platform implements context-based authentication to enhance user account security. It takes into consideration user location, IP address, and device information for authentication purposes. Users can conveniently manage their devices directly from the platform. To ensure data privacy, this information is encrypted using the AES algorithm and securely stored in the database.
In case of a suspicious login attempt, users are promptly notified via email and are required to confirm their identity to protect against unauthorized access.
There are three distinct user roles within the system:
- Admin: The admin role manages the overall system, including moderator management, community management, content moderation, monitoring user activity, and more.
- Moderators: Moderators manage communities, manually review reported posts, and perform other moderation-related tasks.
- General Users: General users have the ability to make posts, like comments, and perform other actions within the platform.
- User authentication and authorization (JWT)
- User profile creation and management
- Post creation and management
- Commenting on posts
- Liking posts and comments
- Following/unfollowing users
- Reporting posts
- Content moderation
- Context-based authentication
- Device management
- Admin dashboard
- Moderator dashboard
- Email notifications
- React.js
- Redux
- Node.js
- Express.js
- MongoDB
- Tailwind CSS
- JWT Authentication
- Passport.js
- Nodemailer
- Crypto-js
- Azure Blob Storage
- Flask
- Hugging Face Transformers
Before running the application, make sure you have the following installed:
- Node.js
- MongoDB or MongoDB Atlas account
- Clone the repository
git clone https://github.com/nz-m/SocialEcho.git
- Go to the project directory and install dependencies for both the client and server
cd clientnpm install
cd servernpm install
- Create a
.env
file in both theclient
andserver
directories and add the environment variables as shown in the.env.example
files. - Start the server
cd servernpm start
- Start the client
cd clientnpm start
Run theadmin_tool.sh
script from the server directory with permissions for executing the script. This script is used for configuring the admin account, creating the initial communities, and other settings.
./admin_tool.sh
For email service of context-based authentication, the following variables are required:
EMAIL=PASSWORD=EMAIL_SERVICE=
For content moderation, you need thePERSPECTIVE_API_KEY
and either theINTERFACE_API_KEY
orTEXTRAZOR_API_KEY
. Visit the following links to obtain the API keys:
If you prefer, the Flask server can be run locally as an alternative to using the Hugging Face Interface API or TextRazor API. Refer to theclassifier_server
directory for more information.
Note: Configuration for context-based authentication and content moderation features arenot mandatory to run the application. However, these features will not be available if the configuration is not provided.
The admin dashboard can be accessed at the/admin
route. Use theadmin_tool.sh
script to configure the admin account. The admin account can be used to manage moderators, communities, and perform other admin-related tasks. You can also enable/disable or switch API services using the admin dashboard.
Moderators have specific email domain (@mod.socialecho.com
). When registering with an email from this domain, the user is automatically assigned the moderator role. Moderators can be assigned to different communities from the admin dashboard.
This project is licensed under theMIT License.
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Social networking platform with automated content moderation and context-based authentication system