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AWS Cloud Projects

You're reading from   AWS Cloud Projects Strengthen your AWS skills through practical projects, from websites to advanced AI applications

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Product type Paperback
Published in Oct 2024
Publisher Packt
ISBN-13 9781835889282
Length 266 pages
Edition 1st Edition
Tools
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Authors (2):
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Pedro Santos Pedro Santos
Author Profile Icon Pedro Santos
Pedro Santos
Ivo Pinto Ivo Pinto
Author Profile Icon Ivo Pinto
Ivo Pinto
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Toc

Table of Contents (15) Chapters Close

Preface 1. Part 1: Beginner Level Projects FREE CHAPTER
2. Chapter 1: Deploying and Interacting with AWS Services 3. Chapter 2: Creating a Personal Website 4. Part 2: Intermediate Level Projects
5. Chapter 3: Building a Recipe-Sharing Application 6. Chapter 4: Building a Serverless Recipe-Sharing Application 7. Chapter 5: Implementing an Image Analyzer to Detect Photo Friendliness 8. Chapter 6: Architecting a Content Translation Pipeline 9. Part 3: Advanced Level Projects
10. Chapter 7: Implementing a Chatbot Using Machine Learning 11. Chapter 8: Building a Business Intelligence Application 12. Chapter 9: Exploring Future Work 13. Index 14. Other Books You May Enjoy

Future work

Congratulations on successfully implementing the chatbot application! You have taken a significant step in harnessing the power of AWS for building intelligent conversational interfaces, and you now have the baseline for incorporating this technology into future projects. This project represents an initial version. We want to suggest some improvements and ideas you can implement to extend it and enrich your chatbot.

Extend the actions performed by your chatbot

Your current chatbot can detect conflicts when a user attempts to schedule a meeting but consider expanding its capabilities by implementing logic to suggest available time slots to the user. Additionally, you could introduce a scheduling window, for instance, from 9 AM to 5 PM, and only accept meeting requests within that timeframe:

def check_meeting_slot(prop_date, prop_start, prop_dur):
#check if is there any conflict by querying the dynamoDB table for meeting already accepted at the proposed start time...
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