AI/ML Solution AI-Based Document Classification System
Implemented an AI-based document classification system using Google Cloud Vertex AI to automate the categorization and analysis of legal and business documents.
Show key features, tech stack, and outcomes
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AI/ML Solution
AI-Based Document Classification System
Implemented an AI-based document classification system using Google Cloud Vertex AI to automate the categorization and analysis of legal and business documents.
Show key features, tech stack, and outcomes Hide details
Key features
Document Classification
- Utilized Vertex AI's AutoML for training a custom text classification model
- Capable of categorizing documents into predefined categories
- Ensures accurate categorization with minimal human supervision
Data Extraction
- Leveraged Vertex AI for building models to extract key data fields
- Used NLP techniques to identify and extract relevant data points
- Automated extraction of dates, amounts, customer names, and addresses
Custom Model Training
- Utilized Vertex AI Workbench for custom model training
- Integrated BERT for NLP tasks and TensorFlow for data extraction
- Fine-tuned models on business-specific datasets
Cloud Integration
- Secure document storage in Google Cloud Storage
- Automated document pipeline using Cloud Functions
- Seamless integration with existing systems
Real-Time Processing
- Real-time document processing via API endpoint
- On-demand classification and extraction
- Automatic handling of document processing in seconds
Compliance Monitoring
- Automatic compliance checking against guidelines
- Generation of compliance reports
- Continuous monitoring and validation
Technologies used
- Google Vertex AI
- BERT
- Google Cloud Storage
- Google Cloud Functions
- Python (Flask)
- Google Drive
Business outcomes
- Reduced processing time from hours to minutes
- Achieved over 95% accuracy in classification
- Scalable to process thousands of documents
- Significant cost reduction in manual processing