← Back Home

AI Enhanced Document Analyzer

An AI-powered document analysis application that lets users upload documents, store extracted content, and prepare the foundation for question-answering over their own files.

The project is built as a modern Python backend using FastAPI, Pydantic, SQLAlchemy, PostgreSQL, Alembic, and Docker. It focuses on clean API design, database-backed document storage, and a scalable structure for future RAG features.

Key Features

• Upload and store document metadata and extracted content
• FastAPI backend with structured request and response models
• PostgreSQL database integration using SQLAlchemy
• Alembic migrations for version-controlled database changes
• Docker-based local development environment
• Planned support for PDF/DOCX parsing and AI-powered document Q&A

Tech Stack

Python, FastAPI, Pydantic, SQLAlchemy, PostgreSQL, Alembic, Docker