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.
A voice-operated emailing mobile application that allows you to compose and send email messages through voice commands.
English Intention Annotation Data
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.
Project for my Conversational Agents course at UNITN.
Fully Local AI Assistant
Practical from my Social Signal Processing class
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)
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.
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.
47811-Sentences-Intention-Annotation-Data-in-Interactive-Scenes
Pre-configured project to get started with Intento quickly.
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.
An NLP chatbot using NLTK, scikit-learn, and Streamlit to understand user intents and provide dynamic responses with conversation history.
Python NLP chatbot for train ticket booking and journey planning, featuring intent recognition, dialogue management, and evaluation.
A serverless, event-driven chatbot architecture using Amazon Lex, AWS Lambda, and DynamoDB for scalable intent recognition and dynamic user interaction.
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