CS34程序代做、代写Python语言程序

日期：2024-09-26 10:01

Project number: CS34

Project Source: School of Computer Science

Project Title: HomeAgent: A Sandbox for Simulating Smart Home Interaction

and Automation Using Large Language Models

Project Description and Scope: This project involves upgrading the HomeAgent

sandbox framework, designed for simulating smart home environments and

interactions with large language models (LLMs). HomeAgent currently

integrates family agents and a HomeBot to emulate realistic human behaviours

and smart home automation. The goal of this project is to enhance the existing

framework with new features and improvements.

Project Scope:

• Upgrade to GPT-4o:

o Objective: Update the underlying model of HomeAgent to GPT-4o.

o Details: Integrate GPT-4o into the HomeAgent framework,

replacing the current model to leverage the advanced reasoning,

tool use, and human interaction capabilities of GPT-4o.

• Add Family Agent Functionality:

o Objective: Enhance the sandbox environment to support

additional family agents.

o Details: Modify the simulation environment to allow the inclusion

of more family agents, enabling a more comprehensive simulation

of household interactions and dynamics.

• Extend Simulation Timeline:

o Objective: Extend the simulation capabilities to cover a full week.

o Details: Update the simulation timeline to allow scenarios and

interactions to unfold over a week, providing a more detailed and

extended observation of agent behaviours and smart home

automation processes.

• Improve User Interface:

o Objective: Enhance the user interface to display environment data

and agent actions more effectively.

o Details: Redesign the user interface to provide real-time updates

on the smart home environment, including temperature,

humidity, and IoT device statuses, as well as detailed logs of agent

actions and interactions. Expected outcomes/deliverables: Enhanced realism and complexity in smart

home simulations. Improved interaction capabilities with more family agents.

Comprehensive data collection and analysis over extended simulation periods.

User-friendly interface providing clear and detailed insights into the smart

home environment and agent behaviours

Specific required knowledge, skills, and/or technology: Proficiency in Python

and familiarity with the PyGame framework. Experience with deep learning,

particularly with large language models such as GPT-4. UI/UX design skills for

enhancing user interfaces. (Good to have but not essential).

Fields that this project may involve: Software Development; Artificial

Intelligence; NLP.

Resources provided by the client: Provide working project code as the starting

point. Provide detailed documentation as the current project description.