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AI/ML2024
Smart Document Processing System
Automated document extraction and classification system using computer vision and NLP to process thousands of documents daily with 97% accuracy.
Client
Legal Tech Startup
Duration
4 months
Role
AI Engineer
Project Overview
Built an intelligent document processing pipeline that automatically extracts, classifies, and structures information from various document types. The system uses computer vision for layout analysis and NLP for content extraction.
Challenges
- Handling diverse document formats and layouts
- Achieving high accuracy across different document types
- Processing documents at scale with low latency
- Ensuring data privacy and security compliance
Solutions
- Developed multi-stage pipeline with format detection and specialized processors
- Trained custom models on domain-specific document datasets
- Implemented distributed processing with Redis queue and worker nodes
- Built secure processing environment with encryption and audit trails
Key Results
90% reduction in manual document processing time
97% accuracy in information extraction
Processed 10,000+ documents daily
Reduced operational costs by $200K annually
Technology Stack
Frontend
ReactTypeScriptTailwindCSSReact Query
Backend
PythonFastAPICeleryRedis
AI/ML
OpenCVspaCyTransformersscikit-learn
Infrastructure
AWSDockerPostgreSQLS3
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