CONVERSATIONAL AI ASSISTANT FOR DATA RETRIEVAL

Abstract

Peter’s is an AI-powered voice-interactive chatbot.This project is on top of a chatbot that can do various things, using speech recognition and NLP. It uses the Speech Recognition API from Google, which converts speech input to text, and gTTS for voice output. Built in Python, it uses transformer-based conversational models like DialoGPT to keep it dynamic and context aware.Some of the key functionalities are calculating, fetching weather and news with API integration, fetching gender-specific data from an Excel file, searching on Google, and giving polite conversational responses. Facilities in this system also include user preference, interaction in real-time, and conditional queries related to data regarding salary. With the correct use of the transformers pipeline, API, and speech technologies, a natural interface between human users and machines is established through this system. It therefore shows the perfect integration of AI, NLP, and speech interfaces to let users interact with the chatbot in a user-friendly manner.This project is aimed at building a very solid framework for creating an intelligent AI chatbot. This chatbot will be capable of managing a wide range of conversational scenarios in a very effective manner, providing users with a smooth seamless experience.