Week 11 Worklog

Week 11 Objectives:

  • Detect and handle multiple complex transactions
  • Integrate PDF file support for Bill OCR
  • Implement feedback system and model fine-tuning
  • Enhance image and audio processing quality
  • Integrate Backend and MongoDB storage
  • Automated testing and Docker deployment
  • Get acquainted with AWS and management tools

Tasks to be carried out this week:

DayTaskStart DateCompletion DateReference Material and Learning Notes
2Multiple transaction detection and PDF support
- Complex multi-transaction parsing
- Refine multi-transaction detection algorithm:
- Detect jar allocation in phrases
- Handle mixed transaction types:

Test complex phrases
- Test 1 transaction with 1 jar
- Test multiple transactions
- Test switching between jars
- Test mixed contexts

Improve PDF file support for Bill section
- Install libraries
- Test transactions with PDF files
17/11/202517/11/2025Sprint 03 - Day 11
3User feedback and learning system
- Handle user feedback system for Voice section
- Handle user feedback system for Bill section
- Fine-tune models based on feedback
- Improve syntax handling for incorrect inputs
Test improvements of Voice and Bill models
18/11/202518/11/2025Sprint 03 - Day 12
4Advanced image/audio processing
- Detect and enhance Bill quality
- Detect image quality
- Auto-rotate and deskew images
- Detect ROI (Region of Interest)
- Integrate with OCR Pipeline
- Testing

Voice background noise handling
- Implement noise reduction
- Voice activity detection
- Silence trimming
- Reduce processing time
- Integrate with Voice Pipeline
- Testing
19/11/202519/11/2025Sprint 03 - Day 13
5Backend Integration & File Storage
Backend service transaction integration
- Review Backend API
- Test AI and Backend flow
- Verify event consumption
- Check automatic transaction creation
- Troubleshoot integration

MongoDB storage integration
- Setup Database for Voice and Bill
- Prepare for Amazon S3 integration
20/11/202520/11/2025Sprint 03 - Day 14
6Create automated tests
- Create tests for Voice and Bill
- Acceptance and verification of all tests
- Bug fixes
- Full regression testing

Setup and Deploy to Docker
21/11/202521/11/2025Sprint 03 - Day 15

Week 11 Achievements:

1. Multiple Transaction Detection and PDF Support

  • Complex multi-transaction parsing
  • Refined multi-transaction detection algorithm
  • Detected jar allocation in phrases
  • Handled mixed transaction types

Complex Phrase Testing:

  • Tested 1 transaction with 1 jar
  • Tested multiple transactions
  • Tested switching between jars
  • Tested mixed contexts

PDF Support:

  • Installed PDF processing libraries
  • Tested transactions with PDF files
  • Integrated PDF into OCR Pipeline

2. Feedback and Learning System

  • Handled user feedback system for Voice section
  • Handled user feedback system for Bill section
  • Fine-tuned models based on feedback
  • Improved handling of incorrect input syntax
  • Tested improvements of Voice and Bill models

3. Advanced Image/Audio Processing

Bill Quality Enhancement:

  • Detected and assessed image quality
  • Auto-rotated and deskewed images
  • Detected ROI (Region of Interest)
  • Integrated with OCR Pipeline
  • Tested with various image conditions

Voice Background Noise Handling:

  • Implemented noise reduction
  • Voice Activity Detection
  • Silence trimming
  • Reduced processing time
  • Integrated with Voice Pipeline
  • Tested with various audio environments

4. Backend & Storage Integration

Backend Integration:

  • Reviewed Backend API endpoints
  • Tested AI and Backend workflow
  • Verified event consumption
  • Checked automatic transaction creation
  • Troubleshot integration issues

MongoDB Integration:

  • Setup Database for Voice and Bill
  • Prepared schema for Amazon S3 integration
  • Implemented storage strategy

5. Automated Testing and Deployment

  • Created automated tests for Voice and Bill
  • Acceptance and verification of all test cases
  • Fixed bugs discovered from testing
  • Performed full regression testing
  • Setup Docker environment
  • Deployed to Docker container

6. AWS Learning

  • Understood AWS and basic service groups (Compute, Storage, Networking, Database)
  • Created and configured AWS Free Tier account
  • Became familiar with AWS Management Console
  • Installed and configured AWS CLI (Access Key, Secret Key, Region)
  • Performed basic operations with AWS CLI
  • Connected and became familiar with First Cloud Journey community

Summary: Week 11 completed the enhancement of multi-transaction processing capabilities, integrated PDF support, implemented feedback system and model fine-tuning. Significantly improved image/audio processing quality with advanced techniques (ROI detection, noise reduction, VAD), successfully integrated with Backend and MongoDB, while completing automated testing and Docker deployment. Additionally, became familiar with AWS ecosystem and basic management tools, preparing for cloud infrastructure deployment.