A serverless multi-tier application leveraging AWS Bedrock for AI-powered document analysis and processing.

The application is built using a multi-layered architecture:

This diagram illustrates the complete serverless architecture including all the layers described above, their interactions, and data flows.

• Web Application - Built with React.js
• Third-Party Systems - API integration capabilities

• Amazon API Gateway - Main entry point for API requests
• AWS WAF - Web Application Firewall for security
• Amazon CloudFront - Content delivery and caching

• Amazon Cognito - User authentication and authorization
• AWS IAM - Identity and access management
• Enterprise IAP - Enterprise identity provider integration (SAML/OIDC)

• Application Lambdas - Core business logic
• AWS Step Functions - Workflow orchestration
• Amazon EventBridge - Event-driven architecture

• Amazon DynamoDB - NoSQL database
• Amazon RDS - Relational database
• Amazon S3 - Document storage

• S3 Data Processing - ETL processes
• Vector Embedding Lambdas - AI/ML processing
• Amazon OpenSearch - Vector database for AI/search
• Data Transformation Lambdas - Data formatting and transformation

• Knowledge Bases - Foundation for AI capabilities
• Agents - Intelligent automation
• Guardrails - Safety and compliance
• Foundation Models - Claude 3, Titan, etc.

• Amazon CloudWatch - Metrics and logs
• AWS X-Ray - Distributed tracing
• AWS CloudTrail - API activity tracking
• Amazon QuickSight - Business intelligence

• AWS KMS - Key management
• AWS Secrets Manager - Secure secrets storage
• AWS Security Hub - Security posture management
• Amazon VPC - Network isolation

This repository includes comprehensive visualizations of the application interfaces and user experiences:

The web dashboard presents a branded interface for THOUTAM Corporation featuring:

• Brand Identity: Utilizes THOUTAM's primary color (#0052CC) throughout the interface

• Pending Approvals:

  • 3 contracts awaiting legal review
  • 2 reports pending executive approval
  • 5 documents requiring compliance verification

• Recent AI Analyses:

  • Contract risk assessment
  • Market trend analysis
  • Regulatory compliance check
  • Competitive intelligence summary

The document viewer integrates intelligent analysis capabilities:

• Document Display: Full contract text with section navigation

• AI Analysis Panel:

  SUMMARY
  This agreement outlines the terms of service between THOUTAM Corporation 
  and the client, including service level requirements, payment terms, 
  confidentiality provisions, and termination conditions.
  

• Key Terms:

  • Term: 24 months with auto-renewal
  • Payment: Net 30 days
  • Early termination fee: 20% of remaining contract value
  • Confidentiality: 5-year NDA from termination

• Document Metadata:

  • Created: May 1, 2025
  • Last modified: May 5, 2025
  • Status: Pending approval
  • Classification: Confidential

• Action Buttons:

  • Download
  • Share
  • Request approval
  • Run AI analysis

The AI assistant provides contextual document support:

• Conversation History:

  • Contract review
  • Marketing strategy
  • Competitor analysis
  • Regulatory inquiries

• Chat Transcript Example:

  User: What are the key terms in the THOUTAM Services Agreement?
  
  AI: Based on the THOUTAM Services Agreement, the key terms include:
  - 24-month contract term with automatic renewal
  - Net 30 payment terms with 1.5% late fee
  - 99.9% uptime SLA with service credits
  - 60-day termination notice required
  
  Would you like me to explain any of these terms in more detail?
  

• Source Citations:

  • Reference to document section 3.2
  • Link to full agreement
  • Reference to previous version changes

• Document Summary Cards:

  • Quick reference cards for mentioned documents
  • Highlighted relevant sections
  • Direct links to document viewers

The admin interface provides system-wide management:

• System Health Metrics:

  • API response time: 87ms avg
  • Function invocations: 12.5M daily
  • Error rate: 0.02%
  • Current system load: 42%

• Usage Analytics:

  • Peak usage periods
  • Function execution distribution
  • Storage growth trends
  • Cost optimization recommendations

• Tenant Management:

  • Provisioning controls
  • Quota management
  • Authentication settings
  • Compliance reporting

The visualization highlights several important implementation details:

• Responsive Design: All interfaces adapt to different screen sizes and orientations
• Tenant Isolation: Multi-tenant architecture with strict data separation
• Serverless Scaling: Automatic scaling based on demand patterns
• Cost Optimization: Resource utilization tracking and optimization
• Security Controls: Role-based access control and data encryption

• AWS Account with appropriate permissions
• AWS CLI installed and configured
• Node.js (v18 or later)
• AWS SAM CLI
• Docker (for local testing)

1. Clone this repository

git clone <repository-url>
cd <repository-directory>

2. Install dependencies

npm install

3. Deploy the infrastructure

npm run deploy

4. Configure the application

npm run configure

For local development and testing:

npm run dev

To run tests:

npm test

To deploy to AWS:

npm run deploy

For detailed documentation about each component, refer to the /docs directory.

This application implements security best practices including:

• Least privilege access
• Encryption at rest and in transit
• Input validation and sanitization
• Cross-origin resource sharing (CORS) configuration
• Regular dependency updates
• AWS WAF protection

Based on these visualizations and architecture, recommended next steps include:

1. Detailed component specification
2. API design and documentation
3. Security architecture review
4. Development environment setup
5. CI/CD pipeline configuration

This project is licensed under the MIT License - see the LICENSE file for details.