You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Successfully developed a Multi-Source Knowledge Intelligence Agent - an advanced agentic AI application that integrates multi-format document and web data processing with LLM-powered analytics and conversational intelligence. It analyzes multi-source data (URL/files) with AI-driven insights, sentiment analysis, knowledge graphs, and chat interface.
A serverless, event-driven chatbot architecture using Amazon Lex, AWS Lambda, and DynamoDB for scalable intent recognition and dynamic user interaction.
Built a secure HR chatbot that lets employees ask questions like leave balance, salary details, and other personal info. Each employee can only see their own data, making it a safe and easy way to access HR services.
This project focuses on Natural Language Processing (NLP) for Intent Recognition and Named Entity Recognition (NER). The goal is to develop deep learning models that can classify user intents and extract named entities from text。
A responsive intent recognition framework with recursive optimization that achieves high accuracy with minimal computational resources through mathematical optimization.
DropSuit - NLP & data manipulation library for JS & Node.js. Offers diverse functions for text analysis, language understanding & more. Open-source under Apache License 2.0.