🏛️ Pakistan Higher Courts Search & QA System

A comprehensive legal case search and question-answering system for Pakistan's higher courts, featuring automated web scraping, machine learning-powered search, and intelligent QA capabilities.

🚀 Features

Core Functionality

🔍 Advanced Search Engine: Hybrid search combining semantic, lexical, and faceted search
🤖 AI-Powered QA: Intelligent question-answering system for legal documents
📄 PDF Processing: Automated PDF download, text extraction, and content analysis
🏛️ Multi-Court Support: Islamabad High Court and Lahore High Court integration
📊 Data Quality Management: Comprehensive data cleaning and validation

Search Capabilities

🧠 Smart Search (Hybrid): AI-powered semantic + lexical search
🎯 Citation Lookup (Lexical): Exact legal reference matching
💡 Meaning Search (Semantic): Context-aware meaning search
🔍 Advanced Filtering: Court, year, status, case type, judge filters
📈 Intelligent Ranking: Multi-factor scoring with boost system

Data Processing

🕷️ Automated Scraping: Selenium-based scrapers with retry mechanisms
📚 Legal Vocabulary Extraction: Automated extraction of legal terms and concepts
🧹 Data Cleaning: Noise removal and text normalization
📊 Quality Analysis: Comprehensive data quality monitoring

🏗️ Architecture

System Overview

┌─────────────────┐    ┌─────────────────┐    ┌─────────────────┐
│   Frontend      │    │    Backend      │    │   Database      │
│   (Django)      │◄──►│   (Django)      │◄──►│  (PostgreSQL)   │
│                 │    │                 │    │                 │
│ • Landing Page  │    │ • Search API    │    │ • Cases         │
│ • Dashboard     │    │ • Scraping      │    │ • Documents     │
│ • Search UI     │    │ • PDF Processing│    │ • Indexes       │
│ • Authentication│    │ • ML Services   │    │ • Metadata      │
└─────────────────┘    └─────────────────┘    └─────────────────┘

Technology Stack

Backend

Framework: Django 5.2.4
Database: PostgreSQL
Search Engine: FAISS (Vector) + PostgreSQL (Full-text)
ML/AI: Sentence Transformers, PyTorch
Web Scraping: Selenium WebDriver
PDF Processing: PyMuPDF, Tesseract OCR

Frontend

Framework: Django Templates
UI Library: Bootstrap 5.3.0
Icons: Font Awesome 6.4.0
JavaScript: ES6+ with modern browser APIs
Styling: CSS3 with CSS Variables

Infrastructure

Vector Database: FAISS
File Storage: Local filesystem
Caching: Django cache framework
Logging: Python logging module

📁 Project Structure

PakistanHigherCourtsSearchAndQASystem/
├── backend/
│   └── search_module/                 # Main Django application
│       ├── apps/
│       │   ├── cases/                 # Case management app
│       │   │   ├── models.py         # Database models
│       │   │   ├── services/         # Business logic
│       │   │   │   ├── scrapper/     # Web scraping services
│       │   │   │   ├── pdf_processor.py
│       │   │   │   └── legal_vocabulary_extractor.py
│       │   │   └── management/       # Django commands
│       │   └── search_indexing/      # Search and indexing app
│       │       ├── models.py         # Search models
│       │       ├── services/         # Search services
│       │       │   ├── hybrid_indexing.py
│       │       │   ├── vector_indexing.py
│       │       │   ├── keyword_indexing.py
│       │       │   └── advanced_ranking.py
│       │       └── views.py          # API endpoints
│       ├── core/                     # Django project settings
│       ├── frontend/                 # Frontend templates and views
│       ├── data/                     # Data storage
│       │   ├── pdfs/                 # Downloaded PDF files
│       │   ├── indexes/              # Search indexes
│       │   └── cases_metadata/       # Scraped case data
│       ├── static/                   # Static files
│       ├── templates/                # HTML templates
│       └── requirements.txt          # Python dependencies
├── frontend/                         # Frontend application
│   ├── templates/                    # HTML templates
│   ├── static/                       # CSS, JS, images
│   └── views.py                      # Frontend views
├── docs/                             # Documentation
├── tests/                            # Test files
└── README.md                         # This file

🚀 Quick Start

Prerequisites

Python 3.8+
PostgreSQL 12+
Chrome/Chromium browser
Git

1. Clone Repository

git clone <repository-url>
cd PakistanHigherCourtsSearchAndQASystem

2. Backend Setup

# Navigate to backend
cd backend/search_module

# Create virtual environment
python -m venv venv

# Activate virtual environment
# Windows:
.\venv\Scripts\Activate.ps1
# macOS/Linux:
source venv/bin/activate

# Install dependencies
pip install -r requirements.txt

# Configure database in core/settings.py
# Update DATABASES configuration with your PostgreSQL credentials

# Run migrations
python manage.py migrate

# Create admin user
python create_admin_user.py

# Start development server
python manage.py runserver

3. Frontend Setup

# Frontend is integrated with backend
# Access at: http://localhost:8000
# Login: admin / admin123

4. Data Processing Pipeline

# Run complete data processing pipeline
python run_pdf_processing_pipeline.py

# Or run individual steps
python manage.py process_pdfs --step download --limit 10
python manage.py process_pdfs --step extract --limit 10
python manage.py process_pdfs --step clean --limit 10
python manage.py process_pdfs --step unified --limit 10

5. Build Search Indexes

# Build hybrid search indexes
python manage.py build_indexes

# Check index status
python manage.py build_indexes --status

🔧 Configuration

Environment Variables

Create a .env file in backend/search_module/:

DEBUG=True
SECRET_KEY=your-secret-key
DATABASE_URL=postgresql://user:password@localhost:5432/dbname
PINECONE_API_KEY=your-pinecone-api-key

Database Configuration

Update backend/search_module/core/settings.py:

DATABASES = {
    "default": {
        "ENGINE": "django.db.backends.postgresql",
        "NAME": "ihc_cases_db",
        "USER": "postgres",
        "PASSWORD": "your-password",
        "HOST": "localhost",
        "PORT": "5432",
    }
}

📊 Data Processing Pipeline

1. Web Scraping

Selenium-based scrapers for Islamabad High Court and Lahore High Court
Batch processing with automatic retry mechanisms
Progress tracking with detailed logging
Data validation and quality checks

2. PDF Processing

Automated PDF download from case data links
Text extraction using PyMuPDF with OCR fallback
Text cleaning and normalization
Unified case views combining metadata and PDF content

3. Legal Vocabulary Extraction

Automated extraction of legal terms and concepts
Pattern recognition for legal citations and references
Confidence scoring for extracted terms
Comprehensive coverage of legal terminology

4. Search Indexing

Vector indexing using FAISS and Sentence Transformers
Keyword indexing using PostgreSQL full-text search
Faceted indexing for categorical search
Hybrid ranking combining multiple search approaches

🔍 Search API

Main Search Endpoint

GET /api/search/search/

Parameters:

q: Search query string
mode: Search mode (lexical, semantic, hybrid)
filters: JSON filters for court, year, status, etc.
offset: Pagination offset
limit: Results per page
return_facets: Boolean to return facets
highlight: Boolean to generate snippets

Example:

curl "http://localhost:8000/api/search/search/?q=PPC%20302&mode=hybrid&limit=5"

Suggestions Endpoint

GET /api/search/suggest/

Parameters:

q: Query string (minimum 2 characters)
type: Suggestion type (auto, case, citation, section, judge)

Status Endpoint

GET /api/search/status/

Returns system health and index status information.

🎨 Frontend Features

Landing Page

Hero section with animated elements
Feature highlights showcasing system capabilities
Courts coverage visual representation
Call-to-action for getting started

Dashboard

Welcome section with real-time clock
Quick stats and system metrics
Module selection for different system features
Recent activity timeline

Search Module

Three search types: Smart Search, Citation Lookup, Meaning Search
Advanced filtering options
Real-time suggestions and typeahead
Result highlighting and score visualization
Pagination and export capabilities

Authentication

Secure login with CSRF protection
Demo credentials: admin/admin123
Session management and logout functionality

📈 Performance Metrics

Search Performance

Hybrid Search P95: <150ms (warm)
Facet Response: <50ms
Snippet Generation: <100ms
Suggestions: <30ms

Data Processing

Scraping Speed: ~5 cases per minute (3 workers)
Data Accuracy: 99%+ with retry mechanism
Storage: ~50KB per case (JSON format)
Memory Usage: ~500MB per worker

Index Coverage

Vector Index: 15,000+ vectors
Keyword Index: 5,000+ documents
Facet Index: 683+ legal terms
Coverage: 95.5% of cases indexed

🧪 Testing

Run Tests

# Run all tests
python manage.py test

# Run specific test modules
python manage.py test apps.cases
python manage.py test search_indexing

# Run data quality tests
python tests/run_data_quality_check.py

Test Coverage

✅ Search API: All endpoints tested
✅ Data Processing: Pipeline validation
✅ PDF Processing: Text extraction and cleaning
✅ Vocabulary Extraction: Legal term extraction
✅ Frontend: UI component testing

🚨 Troubleshooting

Common Issues

1. Database Connection Issues

# Check PostgreSQL service
sudo systemctl status postgresql

# Verify database credentials in settings.py
# Test connection
python manage.py dbshell

2. Search Not Working

# Check if indexes are built
python manage.py build_indexes --status

# Rebuild indexes if needed
python manage.py build_indexes --force

3. PDF Processing Issues

# Check PDF processing status
python run_pdf_processing_pipeline.py --validate-only

# Force reprocessing
python run_pdf_processing_pipeline.py --force

4. Frontend Issues

# Collect static files
python manage.py collectstatic

# Check template errors
python manage.py check --deploy

Debug Mode

# Enable debug mode in settings.py
DEBUG = True

# Check logs
tail -f logs/scraper.log

🔮 Future Enhancements

Phase 2 Features

Real-time Indexing: Automatic index updates on new data
Advanced Filtering: Date range filters and complex boolean logic
Personalization: User search history and relevance feedback
Export Capabilities: CSV/JSON export and bulk processing
Analytics Dashboard: Search analytics and performance metrics

Phase 3 Features

Mobile App: Native mobile application
API Rate Limiting: Advanced API management
Multi-language Support: Urdu and other language support
Advanced Security: Enhanced authentication and authorization
Docker Containerization: Easy deployment and scaling

📚 Documentation

Detailed Documentation

API Reference

🤝 Contributing

Development Guidelines

Code Style: Follow PEP 8 for Python, ESLint for JavaScript
Testing: Add tests for new features
Documentation: Update relevant documentation
Performance: Monitor latency and throughput
Security: Follow security best practices

Adding New Features

Backend: Implement business logic in services
API: Add endpoint handlers and URL routing
Frontend: Create templates and JavaScript functionality
Testing: Add comprehensive tests
Documentation: Update API docs and README

📄 License

This project is for educational and research purposes. Please respect the terms of service of the websites being scraped.

🆘 Support

For issues and questions:

Check the troubleshooting section
Review the detailed documentation
Check logs for error information
Create an issue with detailed logs and steps to reproduce

📊 System Status

Current Status: ✅ Operational

Database: ✅ Connected and operational
Search Indexes: ✅ Built and ready
PDF Processing: ✅ Functional
Frontend: ✅ Accessible
API: ✅ Responding

Data Statistics

Total Cases: 60+ cases processed
PDF Documents: 155+ PDFs downloaded
Legal Terms: 683+ terms extracted
Search Indexes: 15,000+ vectors indexed
Data Quality: 95.5% coverage

Last Updated: Octuber 2025
Version: 1.0.0
Maintainer: Development Team

🎉 Ready to revolutionize legal research in Pakistan!

Name		Name	Last commit message	Last commit date
Latest commit History 76 Commits
backend		backend
data		data
docs		docs
frontend		frontend
models		models
notebooks		notebooks
reports		reports
.env		.env
.gitattributes		.gitattributes
README.md		README.md
check_database.py		check_database.py
debug_output.txt		debug_output.txt
setup_ai_snippets.py		setup_ai_snippets.py
test_snippet_service.py		test_snippet_service.py

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🏛️ Pakistan Higher Courts Search & QA System

🚀 Features

Core Functionality

Search Capabilities

Data Processing

🏗️ Architecture

System Overview

Technology Stack

Backend

Frontend

Infrastructure

📁 Project Structure

🚀 Quick Start

Prerequisites

1. Clone Repository

2. Backend Setup

3. Frontend Setup

4. Data Processing Pipeline

5. Build Search Indexes

🔧 Configuration

Environment Variables

Database Configuration

📊 Data Processing Pipeline

1. Web Scraping

2. PDF Processing

3. Legal Vocabulary Extraction

4. Search Indexing

🔍 Search API

Main Search Endpoint

Suggestions Endpoint

Status Endpoint

🎨 Frontend Features

Landing Page

Dashboard

Search Module

Authentication

📈 Performance Metrics

Search Performance

Data Processing

Index Coverage

🧪 Testing

Run Tests

Test Coverage

🚨 Troubleshooting

Common Issues

1. Database Connection Issues

2. Search Not Working

3. PDF Processing Issues

4. Frontend Issues

Debug Mode

🔮 Future Enhancements

Phase 2 Features

Phase 3 Features

📚 Documentation

Detailed Documentation

API Reference

🤝 Contributing

Development Guidelines

Adding New Features

📄 License

🆘 Support

📊 System Status

Current Status: ✅ Operational

Data Statistics

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