
Enhancing User Experience and Efficiency with a Multilingual AI Chat Application
Technology
A client required an intelligent, multilingual chat application with document handling, email integration, and Optical Character Recognition (OCR). The implemented solution used Retrieval-Augmented Generation (RAG) for document-based responses, multilingual support, and enhanced security. The result was faster document retrieval, improved communication efficiency, and compliance with stringent data protection standards.
Client Overview
The client operates in a data-driven environment and sought to enhance user communication and document handling using Generative AI. The goal was to develop a chat application that could support multiple languages, enable secure document uploads, and integrate seamless email communication.
01
The Challenges
Multilingual Support: Ensuring seamless communication in regional Indian and international languages.
Document Upload & Management: Secure handling of various file formats without errors.
Document-Based Responses: Generating accurate answers with citations from uploaded documents.
Email Integration: Enabling direct email interactions from the chat interface.
OCR Functionality: Extracting and processing text from uploaded images and documents.
02
The Solutions
Document Management System:
Supports PDFs, DOCX, XLSX, JPG, PNG formats, Secure AWS S3 storage with encryption and automatic filename corrections & Tech Stack: AWS S3, Lambda, API Gateway.
Multilingual Chat & RAG-Based Responses:
Real-time multilingual chat generating document-based responses with citations & Tech Stack: Amazon Bedrock (RAG Model), Flutter, OpenSearch.
Email Integration:
Clickable email links embedded in chat for instant email composition, Pre-filled subject and body for streamlined email responses & Tech Stack: Amazon Pinpoint, SES, Flutter.
OCR Functionality:
Text extraction from images and documents with download capability & Tech Stack: AWS Rekognition, Textract, Lambda.
Security & Access Control:
Role-Based Access Control (RBAC) for sensitive documents, End-to-end encryption for secure communications & Tech Stack: AWS IAM, DynamoDB.
03
The Results
30% Faster Document Retrieval through RAG-based responses.
20% Increase in Email Response Efficiency with embedded email integration.
80% Accuracy in Multilingual Responses & OCR Processing.
100% Security Compliance through encryption and role-based access.