You will get AI-Powered Document Q&A System : Fully Functional Streamlit Web App
Project details
This project is an AI-powered document-based Q&A system that enables users to extract meaningful insights from PDF documents by asking natural language questions. It leverages Gemma-7B-IT (via Groq API) for intelligent answer generation and FAISS for efficient document retrieval.
Key Features:
✅ PDF Processing & Chunking: Automatically loads and splits PDFs for better retrieval.
✅ AI-Powered Q&A: Uses Gemma-7B-IT to generate context-aware responses.
✅ Vector Search with FAISS: Stores document embeddings for fast, relevant search results.
✅ Streamlit UI: Simple, interactive interface for users to upload PDFs and ask questions.
✅ Scalability & Deployment: Can be extended to support DOCX, TXT, CSV and deployed via FastAPI/Django.
🚀 Ideal for: Research, legal documents, knowledge extraction, and automated document analysis.
Key Features:
✅ PDF Processing & Chunking: Automatically loads and splits PDFs for better retrieval.
✅ AI-Powered Q&A: Uses Gemma-7B-IT to generate context-aware responses.
✅ Vector Search with FAISS: Stores document embeddings for fast, relevant search results.
✅ Streamlit UI: Simple, interactive interface for users to upload PDFs and ask questions.
✅ Scalability & Deployment: Can be extended to support DOCX, TXT, CSV and deployed via FastAPI/Django.
🚀 Ideal for: Research, legal documents, knowledge extraction, and automated document analysis.
Programming Languages
PHP, HTML & CSS, PythonWhat's included
| Service Tiers |
Starter
$100
|
Standard
$250
|
Advanced
$500
|
|---|---|---|---|
| Delivery Time | 3 days | 3 days | 3 days |
Number of Revisions | 1 | 1 | 3 |
Number of Pages | 10 | 50 | 99 |
Design Customization | |||
Content Upload | |||
Responsive Design | |||
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$1 - $50
Additional Revision
+$10
Additional Page
(+ 2 Days)
+$1Frequently asked questions
About Huzefa
AI & Machine Learning | Artificial Intelligence, AI, C++, Gesture
Nagpur, India - 3:59 pm local time
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Steps for completing your project
After purchasing the project, send requirements so Huzefa can start the project.
Delivery time starts when Huzefa receives requirements from you.
Huzefa works on your project following the steps below.
Revisions may occur after the delivery date.
1️⃣ Requirement Gathering & Setup
Understand client needs (PDF processing, UI, deployment). Set up API keys & project environment.
2️⃣ Data Processing & Vectorization
Load PDFs using PyPDFDirectoryLoader. Split text into chunks (RecursiveCharacterTextSplitter). Generate embeddings (GoogleGenerativeAIEmbeddings). Store vectors in FAISS for efficient retrieval.