Document Q&A Assistant
AI-powered document analysis tool that extracts insights from PDFs and documents using natural language queries, making information discovery effortless.
Document Processing
Intelligent parsing of PDFs, Word docs, and text files with content extraction
Natural Language Queries
Ask questions in plain English and get accurate answers from document content
Insight Generation
Automatic summarization and key insight extraction from large documents
Application Features
Created an intuitive document analysis tool that allows users to upload documents and ask questions in natural language, receiving accurate answers based on the content with source citations and confidence scores.
Core Capabilities
- Support for PDF, DOCX, and TXT file formats up to 50MB
- Automatic text extraction and preprocessing
- Question answering with 88% accuracy on test documents
- Document summarization and key point extraction
Technical Architecture
- Streamlit web interface for easy document upload and interaction
- PyPDF2 and python-docx for document text extraction
- OpenAI embeddings for semantic search capabilities
- FAISS vector database for efficient similarity search
- Chunk-based processing for handling large documents
Usage Statistics
- Documents processed: 2,000+ across various domains
- Average processing time: 30 seconds for 100-page documents
- User satisfaction: 4.1/5 based on feedback surveys
- Query response time: Average 2.5 seconds per question
Technologies Used
Python
Streamlit
OpenAI
PDF Processing
NLP
PyPDF2
FAISS
Pandas