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.
Python NLP chatbot for train ticket booking and journey planning, featuring intent recognition, dialogue management, and evaluation.
The qaio function is a JavaScript and Node.js function that is part of the DropSuit NLP library. It is designed for response search by processing input strings or constructor input, with options of return type. Open-source and available under the Apache License 2.0.
A voice-operated emailing mobile application that allows you to compose and send email messages through voice commands.
English Intention Annotation Data
Project for my Conversational Agents course at UNITN.
Fully Local AI Assistant
A serverless, event-driven chatbot architecture using Amazon Lex, AWS Lambda, and DynamoDB for scalable intent recognition and dynamic user interaction.
ChatAssist Pro is an advanced AI-powered chatbot designed to streamline customer support interactions.
Practical from my Social Signal Processing class
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.
Research on the Construction Method of Intelligent Services Based on Prior Knowledge
Athena is an Personal Assistant android app build using Api.ai for Intent recognition and 3rd party apis for different services.
A powerfull NLP-Based application that analyzes email content and generates optimized subject lines with tone(like an overview)
Bachelor thesis regarding in-domain intent recognition and out-of-domain detection.
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.
The capability of an AI model (here, ChatGPT in particular) was tested in the sphere of customer service by availing data from real customers who had recently had experiences dealing with the chatbots or any other language model of an established institute or company.
Powered by langgraph, a voice-enabled chatbot system capable of handling multiple analysis tasks in parallel through intent detection.
Python library to extract intention and structured information from sentences written in natural language
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