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Questro

Questro - Intelligent Q&A Platform

AI-Powered Question Answering • Knowledge Discovery • Enterprise Intelligence

Project Overview

Tech Stack: Python, FastAPI, React, Azure OpenAI, Vector Search, MongoDB
Category: Major Enterprise Platform
Status: Production Deployment
Users: 500+ enterprise users across multiple organizations

Problem Statement

Challenge: Organizations struggle with knowledge discovery and intelligent question answering across large document repositories and knowledge bases.

Solution: Questro provides AI-powered question answering capabilities that understand context, retrieve relevant information, and generate accurate responses from enterprise knowledge sources.

Key Features

Intelligent Q&A Engine

  • Natural Language Processing: Understands complex questions and context
  • Multi-Source Integration: Searches across documents, databases, and APIs
  • Context Preservation: Maintains conversation context for follow-up questions
  • Relevance Ranking: Intelligent ranking of search results and answers
  • Access Control: Role-based access to different knowledge sources
  • Audit Logging: Complete audit trail for compliance and security
  • Custom Training: Organization-specific model fine-tuning
  • Integration APIs: RESTful APIs for system integration

Knowledge Management

  • Document Processing: Automated ingestion and processing of various document types
  • Vector Search: Semantic search capabilities for relevant information retrieval
  • Knowledge Graphs: Relationship mapping between different information sources
  • Real-time Updates: Dynamic knowledge base updates and synchronization

Impact Metrics

Business Value

  • Query Resolution: 85% of questions answered accurately without human intervention
  • Time Savings: 60% reduction in time spent searching for information
  • User Satisfaction: 92% user satisfaction rate with answer quality
  • Enterprise Adoption: Deployed across 15+ departments in multiple organizations

Technical Performance

  • Response Time: Sub-2 second average response time for complex queries
  • Accuracy Rate: 90%+ accuracy for domain-specific questions
  • Scalability: Handles 10,000+ concurrent users with consistent performance
  • Uptime: 99.9% system availability with robust error handling

Technical Architecture

Core Components

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graph TD
    A[User Interface] --> B[API Gateway]
    B --> C[Question Processing]
    C --> D[Knowledge Retrieval]
    D --> E[Answer Generation]
    E --> F[Response Delivery]

    G[Document Ingestion] --> H[Vector Database]
    H --> D
    I[Knowledge Sources] --> G

Technology Integration

  • AI/ML: Azure OpenAI for language understanding and generation
  • Search: Vector search with semantic similarity matching
  • Backend: FastAPI with async processing for high performance
  • Frontend: React-based responsive web application
  • Database: MongoDB for flexible document storage and metadata

Innovation Highlights

AI-Powered Intelligence

  • Contextual Understanding: Advanced comprehension of user intent and context
  • Multi-Modal Processing: Support for text, images, and structured data
  • Learning Capability: Continuous improvement through user feedback
  • Domain Adaptation: Customizable for industry-specific knowledge domains

Enterprise Integration

  • SSO Integration: Seamless integration with enterprise identity systems
  • API-First Design: Comprehensive APIs for system integration
  • Compliance Features: GDPR, HIPAA, and industry-specific compliance support
  • Analytics Dashboard: Detailed insights into usage patterns and knowledge gaps

Technical Implementation

Professional Portfolio

Transforming enterprise knowledge discovery through intelligent AI-powered question answering!