QuickDataProcessor (QDP) is a scalable, serverless, event-driven platform designed to handle user management, virtual assistance, messaging, notifications, data processing, and analytics workflows. Built using a cloud-native approach, QDP leverages the power of AWS and GCP services to deliver a robust and modular solution.
- Multi-Factor Authentication:
- First Factor: AWS Cognito for user ID and password authentication.
- Second Factor: DynamoDB and Lambda for question/answer validation.
- Third Factor: Lambda for mathematical skill validation.
- User Registration: Implemented via a lightweight React frontend with user data stored in DynamoDB.
- Online Navigation: Developed using GCP DialogFlow, Firestore, and Cloud Functions to assist users with tasks such as registration and file retrieval.
- Customer Queries: Handles customer concerns and forwards them to QDP agents.
- Real-Time Interaction: Enabled through GCP Pub/Sub for seamless message passing.
- Asynchronous Communication: Implemented using GCP Pub/Sub to handle communication between users and QDP agents.
- Message Logging: All interactions logged in NoSQL databases (DynamoDB or Firestore).
- Event-Driven Notifications:
- Successful registration and login notifications sent via AWS SNS.
- Processing success/failure updates sent via AWS SNS/SQS.
- Decoupled Communication: SNS-SQS integration ensures scalable and robust communication between application components.
- Automated Workflows:
- JSON to CSV Conversion: Processed using AWS Glue and stored in DynamoDB.
- Named Entity Recognition: Extracted from text files via AWS Lambda and saved in DynamoDB.
- Word Cloud Generation: Created using GCP Looker Studio for visualization.
- File Uploads: Managed through the frontend and processed in the backend seamlessly.
- Interactive Dashboards:
- Admins can view user and login statistics via Looker Studio dashboards embedded in the frontend.
- Customers and agents can access feedback and sentiment analysis results in tabular formats.
- Sentiment Analysis: Google Natural Language API analyzes feedback for meaningful insights.
- Frontend Development: Built using React and hosted on GCP Cloud Run for scalable and efficient deployment.
- CI/CD Pipeline: Automated using GCP Cloud Build with GitHub push triggers for streamlined updates.
- Infrastructure as Code: Utilized CloudFormation and GCP Cloud Deployment Manager for automated service provisioning.
- Frontend: React
- Authentication: AWS Cognito, DynamoDB, AWS Lambda
- Notifications: AWS SNS, AWS SQS
- Messaging: GCP Pub/Sub
- Data Processing: AWS Glue, AWS Lambda, GCP Looker Studio
- Data Analysis: Google Natural Language API
- Deployment: GCP Cloud Run, GCP Cloud Build, GitHub
The application follows a modular architecture, ensuring scalability and fault tolerance:
- User interactions are handled by the React frontend.
- Backend processing is decoupled and event-driven, leveraging services like AWS Lambda, SNS/SQS, and GCP Pub/Sub.
- Data storage and analytics use DynamoDB, Firestore, and Looker Studio.
- The entire application is hosted and deployed via GCP Cloud Run with automated pipelines.
- Serverless Architecture: Fully serverless design for cost efficiency and scalability.
- Event-Driven Design: Decoupled components using SNS/SQS and Pub/Sub.
- Robust Security: Multi-factor authentication and secure messaging workflows.
- Cloud-Native CI/CD: Automated deployments using GCP Cloud Build and GitHub.
QuickDataProcessor (QDP) is a comprehensive platform that combines user management, virtual assistance, messaging, notifications, data processing, and analytics capabilities. Leveraging the power of AWS and GCP services, QDP provides a scalable, secure, and cost-effective solution for modern businesses. With its modular architecture and event-driven design, QDP is well-equipped to handle diverse workflows and adapt to changing business requirements.