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VAES – Voice-Assisted Expert System for IS Codes
Introduction
VAES is an intelligent voice-assisted chatbot designed to provide expert guidance based on Indian Standard (IS) codes. The system interprets user queries and retrieves relevant information from structured PDF documents containing IS codes.
Architecture Overview
Frontend
Built using Angular
  • User-friendly interface
  • Voice and text-based queries
  • Real-time conversational display
Backend
Developed in Python
  • Chat Interface APIs
  • RAG Pipeline
  • Embedding & Vector Store
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LlamaIndex plays a crucial role in bridging structured PDFs and the retrieval engine, enabling efficient document processing and contextual response generation.
Core Components
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Document Ingestion
Extracts and preprocesses content from PDF documents containing IS Codes
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Embedding Generation
Converts text segments into dense vector representations for semantic search
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Vector Storage
Manages high-dimensional embeddings with fast nearest-neighbor search
Interface Features
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Voice Input
Natural voice-based interaction
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Smart Responses
Context-aware conversational AI
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Real-time Processing
Instant document retrieval
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Learning System
Adaptive to user patterns
Conclusion
VAES proves that a domain-specific AI assistant can make complex technical standards accessible through natural conversation. By leveraging LlamaIndex, vector search, and generative AI, it bridges structured knowledge and user-friendly experiences.