Project Description:

The AI Chat Assistant for Document Q&A is an intelligent system that allows users to upload documents (PDFs, DOCX, or plain text) and interact with them using natural language questions. Instead of reading the whole document manually, users can ask questions, and the AI assistant extracts and summarizes answers directly from the uploaded content using advanced NLP (Natural Language Processing) techniques.

Core Objective:

To build an AI-powered platform where users can chat with their documents—ask questions, get summarized responses, and extract key insights—enhancing productivity and knowledge access.

Key Features:

1. Document Upload:

   • Supports PDFs, Word files (.docx), and .txt uploads.

2. AI Chat Interface:

   • Ask natural language questions like “What is the conclusion?”, “List the key findings”, or “Who is the author?”

3. AI/NLP-Powered Answering:

   • Uses language models (like BERT, GPT-based models) to search and extract relevant content.

4. Semantic Search Engine:

   • Understands the meaning of questions, not just keywords.

5. Context-Aware Answers:

   • Provides responses with references to specific document sections.

6. Answer Highlighting (Optional):

   • Highlights the portion of the document from which the answer was extracted.

7. Web Interface:

   • Responsive UI with chatbox, file viewer, and history panel.

Tech Stack:

 AI/NLP:

• OpenAI GPT (API) or HuggingFace Transformers (like BERT, T5)

• Document parsing using pdfplumber, docx, or PyMuPDF

• Vector search with FAISS or Pinecone for semantic understanding

 Backend (API):

• Node.js / Java / PHP for API development

• Handles file uploads, document parsing, and forwarding queries to the AI model

 Frontend:

• HTML, CSS, Bootstrap, JavaScript

• Chatbox UI with file viewer and response area

 Database:

• MongoDB / MySQL to store user data, chat history, and document metadata