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Rajeshdevandla/ai-document-intelligence-platform

🧠 AI-powered document processing platform β€” Java Spring Boot microservices, Apache Kafka, Python OCR, LLMs (GPT-4o, Claude 3, Gemini), AWS, React dashboard

Java MIT GitHub β†—
β˜… 0
stars
65
AI relevance
50
solo dev
0
tool sigs

SUMMARY AI summary by gpt-5-mini

An end-to-end document processing platform that ingests PDFs/images, runs OCR, extracts structured fields via an LLM, stores results, and exposes a React dashboard. Built as a portfolio project to demonstrate combining Java microservices, a Python OCR pipeline, and LLM APIs (inspired by work at Mutual of Omaha). Who uses it: developers and teams exploring practical AI automation patterns and microservice integration. Key features: React+TypeScript frontend with S3 presigned uploads; Spring Boot upload and processing services; Kafka for async events; Python FastAPI OCR using AWS Textract; OpenAI (GPT-4o) for structured extraction; PostgreSQL/DynamoDB storage; dashboard with status/history; local run via Docker Compose; CI with GitHub Actions.

DETECTED Detected AI stack

AI-related keywords found in this repo's description, topics, or README summary β€” grouped by category. Each badge links to the corresponding ranking detail page.

🧠 LLM providers (2)
OpenAI Gemini
πŸ€– LLM models (3)
Claude Gemini GPT-4
πŸ’Ύ Databases (2)
PostgreSQL DynamoDB
🌐 Web frameworks (4)
Spring Boot FastAPI Spring React
☁️ Cloud platforms (1)
AWS

Language breakdown (by bytes)

CSS
0.3%
HCL
4.5%
HTML
0.4%
Java
58.5%
Python
9%
Dockerfile
1.6%
JavaScript
0.2%
TypeScript
25.5%

Owner

Account
Rajeshdevandla
Type
User
Followers
0

Dates

Created on GitHub 2026-05-09
Last push 2026-05-09
First seen here 2026-05-09
Last fetched 2026-05-09 18:16