Case Study
AI-Assisted Verification &
Human-in-the-Loop
Automation
Combining AI and human expertise for high-accuracy data verification, validation and processing.
01 / Overview
Project Overview
An AI-assisted verification platform that extracts, validates and verifies data from various documents, with a human-in-the-loop review process to ensure high accuracy and compliance.
Role
AI/ML & Full Stack Development
Duration
5 Months
Industry
Enterprise Solutions
Services
OCR, Data Validation, Human-in-the-Loop, Automation
02 / Challenge
The Challenge
Manual verification of documents was time-consuming, error-prone and lacked consistency, especially for complex or low-quality documents, leading to delays, compliance risks and operational inefficiencies.
Document Variation
Multiple formats, layouts and low-quality scans.
Low Extraction Accuracy
Errors in extracted data required manual verification.
High Processing Time
Manual verification was slow and resource-intensive.
03 / Solution
The Solutions
We built an AI-assisted verification platform using OCR and machine learning to extract and validate data, with a human-in-the-loop system for low-confidence cases, ensuring high accuracy and compliance.
Document Ingestion
Upload documents in multiple formats
OCR & Data Extraction
Extract text and key data using AI
AI Validation
Validate data with rule-based and ML models
Human Review
Low-confidence cases sent for manual verification
Final Output
Store verified data and send to downstream systems
04 / Technology
Technology Used
PostgreSQL
Database
Python
Backend Development
Docker
Containerization
Tesseract OCR
Text Extraction
TensorFlow
ML Models
OpenCV
Image Processing
FastAPI
APIs & Services
05 / Impact
Business Impact
75%
Reduction in manual effort
3x
Faster data processing
98%
Data accuracy and reliability
60%
Lower operational cost