Developing a virtual assistant using AI
Table Of Contents
1. Introduction
1.1 Evolution of virtual assistants
1.2 Motivation for developing a virtual assistant
1.3 Objectives of the project
2. Natural Language Understanding and Processing
2.1 Speech recognition and text understanding
2.2 Intent recognition and entity extraction
3. Dialogue Management and Task Execution
3.1 Dialogue state tracking
3.2 Task-oriented dialogue systems
4. Machine Learning Models for Virtual Assistants
4.1 Supervised learning for intent classification
4.2 Reinforcement learning for dialogue policy
5. Integration with External Services and APIs
5.1 Accessing external data sources
5.2 Performing tasks through API calls
Thesis Abstract
This project aims to develop a virtual assistant using artificial intelligence techniques, such as natural language processing and machine learning. The project will focus on building a conversational interface that can understand user queries, perform tasks, and provide relevant information. The project will explore different AI models and frameworks for virtual assistant development and evaluate the assistant's performance.
Thesis Overview
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