AI-Powered • Local Processing

Intelligent Document Analysis Platform

A personal app to upload PDFs and interact with them using AI summarization and Q&A, built with LangChain, Ollama Llama 3.2/Qwen3:8B, and FAISS DB. Extracts relevant formulas, images, and graphs pertaining to your queries for comprehensive document analysis.

Explore Architecture View Technology Stack

Live demonstration of document analysis and AI-powered Q&A capabilities

System Architecture Flow

Complete workflow from document input to AI-powered insights

Core Technologies

Leveraging cutting-edge AI and machine learning technologies for enterprise-grade document analysis with local deployment capabilities

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Advanced Language Processing

Powered by Ollama's Llama 3.2 or Qwen 3:8B models for superior natural language understanding. Qwen brings advanced scientific knowledge base and enhanced reasoning capabilities for complex document analysis and technical interpretation

Llama 3.2 Qwen 3:8B Scientific Knowledge Advanced Reasoning Local Deployment Privacy-First

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Intelligent Processing Pipeline

LangChain framework enabling sophisticated document processing workflows, retrieval-augmented generation, and context-aware response systems

RAG Pipeline Smart Chunking Context Preservation Multi-Document Analysis

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High-Performance Vector Storage

ChromaDB implementation providing lightning-fast semantic search, intelligent document matching, and scalable vector storage architecture

ChromaDB Semantic Search Vector Embeddings Fast Retrieval

System Architecture

Engineered for scalability, performance, and reliability with a modular design that ensures efficient processing of complex documents

Document Upload

Secure PDF validation, size verification, and initial preprocessing

Content Extraction

Advanced text extraction with structure preservation and metadata capture

Intelligent Chunking

Smart text segmentation with context preservation and optimal sizing

Vector Embedding

High-dimensional vector generation for semantic understanding

AI-Powered Query

Intelligent response generation with context-aware analysis

Performance Specifications

Optimized parameters engineered for maximum efficiency, accuracy, and enterprise-scale document processing

16MB

Maximum File Size

Enterprise document capacity

1800

Optimal Chunk Size

Characters per segment

300

Context Overlap

Information continuity

Context Window

Processing capacity

Enterprise Applications

Designed for mission-critical document analysis across diverse industries with specialized use cases and professional workflows

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Aerospace & Engineering

Process technical specifications, mission reports, engineering documentation, and compliance materials with precision and accuracy for critical aerospace applications

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Research & Academia

Analyze scientific literature, research papers, and academic publications with advanced summarization and knowledge extraction capabilities

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Legal & Compliance

Navigate complex legal documents, contracts, regulations, and compliance materials with intelligent information retrieval and analysis

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Healthcare & Medical

Process medical literature, research studies, and clinical documentation while maintaining strict privacy and security standards

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Manufacturing & Quality

Analyze technical manuals, quality standards, and operational procedures for manufacturing excellence and compliance management

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Financial Services

Process financial reports, regulatory documents, and compliance materials with secure, local analysis for sensitive financial data

Technology Stack

Strategic technology selections optimized for enterprise deployment, security, and performance with modern development practices

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Frontend & Interface

Streamlit Framework

Modern web application framework for rapid AI prototype development with interactive components

Custom HTML Templates

Responsive chat interface with custom CSS styling and bot/user message templates

PIL + OpenCV Integration

Advanced image processing capabilities for visual content analysis and manipulation

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AI & Machine Learning

Ollama LLM Integration

Local large language model deployment with Llama 3.2 and Qwen support for privacy-first AI processing

LangChain + HuggingFace

Advanced conversational AI with memory, retrieval chains, and state-of-the-art embeddings

Conversation Memory

Persistent chat history with buffer memory for context-aware multi-turn conversations

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Data & Processing

FAISS Vector Database

Facebook AI Similarity Search for high-performance vector storage and fast similarity matching

PyPDF2 + PyMuPDF (Fitz)

Dual PDF processing engines for robust text extraction and advanced document structure analysis

Advanced Caching System

Intelligent caching with pickle serialization, hash-based indexing, and matplotlib visualization

Development Roadmap

Current implementation status and strategic development roadmap for enhanced enterprise capabilities

Core Platform Foundation

Implemented robust PDF processing pipeline, AI-powered summarization engine, and intelligent Q&A functionality with local LLM deployment

Completed

Vector Database Integration

Successfully deployed ChromaDB for high-performance semantic search, document embeddings, and intelligent content retrieval

Completed

Advanced RAG Implementation

Optimized retrieval-augmented generation pipeline with context-aware responses, improved accuracy, and enhanced document understanding

Completed

Multi-Document Analysis Engine

Cross-document analysis capabilities, information synthesis across multiple sources, and comparative document intelligence

COMPLETED

Visual Content Processing

Advanced OCR integration for mathematical formulas, charts, diagrams, and complex visual elements with AI-powered interpretation

COMPLETED

Professional Deployment

Advanced authentication, role-based access control, audit logging, and compliance features for enterprise deployment

IN PROGRESS