AI Chatbot for PDF Content Extraction

The project involves developing an AI-powered chatbot that extracts information from specific PDF files based on user queries. The chatbot will utilize natural language processing (NLP) to understand user inputs and retrieve relevant information from the PDF documents. This tool will streamline access to information stored in complex PDFs, allowing users to get accurate and quick responses without manually searching through the documents.

Project Requirements:

PDF Parsing and Storage:

Ability to upload and store multiple PDF files in a secure database.
Efficient PDF parsing to extract structured and unstructured data (text, tables, images).
Natural Language Processing (NLP):

NLP engine to understand user queries and map them to relevant sections in the PDFs.
Implementation of entity recognition and semantic search to improve query precision.
Query Processing:

Real-time query analysis and response generation based on extracted PDF content.
Support for complex and multi-layered queries (e.g., find legal clauses, technical specifications).
User Interface:

A simple and intuitive chat-based interface for user interaction.
Display results in an easy-to-read format, with the option to view relevant PDF sections.
Security and Access Control:

Secure authentication to ensure only authorized users can upload, view, or query the PDFs.
Encryption for sensitive PDF data.
Integration:

API support for integrating the chatbot with other platforms or systems.
Scalability:

Scalable architecture to handle large volumes of PDFs and concurrent queries.
Performance Metrics:

Fast response time for query resolution.
High accuracy in retrieving relevant information from PDFs.