Hey everyone! In this video, we’re diving into the development of a web-based chatbot, covering key aspects like data scraping, JSON generation, and JavaScript integration.
We’re actively developing a website called bionichaos.com, and we’re experimenting with various improvements based on user feedback. This includes refining eye-tracking features, optimizing chatbot performance, and tackling API-related issues.
Some key topics covered in this video:
Addressing ChatGPT’s partial outage and performance issues.
The importance of single-page applications (SPA) and JavaScript frameworks.
Developing a chatbot with HTML, CSS, and JavaScript.
Scraping data directly from a website vs. using JSON files.
Setting up a chatbot that dynamically fetches and processes web content.
If you’re interested in learning about real-time chatbot development, data extraction methods, and troubleshooting web app issues, this video is for you!
👉 Learn more at:
#ChatbotDevelopment #WebScraping #JavaScript #JSON #WebDevelopment #AI #Programming #OpenAI #DataProcessing #SinglePageApplication
0:00 – Introduction to bills.com & user feedback
0:12 – Eye-tracking improvements & quick fixes
0:27 – OpenAI & ChatGPT partial outage issues
0:46 – Exploring single-page applications (SPA)
1:06 – Using JavaScript and HTML for chatbot development
1:18 – Voice chat and microphone issues in ChatGPT
1:55 – Explanation of single-page applications (SPA)
2:18 – Switching between different AI models
2:41 – ChatGPT connectivity problems
3:08 – Identifying and fixing microphone muting issues
3:26 – Discussion on Arduino boards vs. web-based chatbot development
3:46 – Using Python for JSON data generation
4:11 – Scraping website data using BeautifulSoup
4:39 – JavaScript vs. Python for data handling
5:04 – Fetching data from a JSON file into JavaScript
5:42 – Structuring JavaScript for better chatbot integration
6:10 – Steps to update JavaScript for web scraping
6:53 – Fetch API and dynamic data fetching methods
7:42 – The importance of a structured chatbot interface
8:14 – Extracting and displaying chatbot responses dynamically
8:58 – Best practices for optimizing chatbot performance
9:39 – Troubleshooting JSON file fetching issues
10:26 – Deploying the chatbot and testing live interactions
11:04 – Final thoughts and next steps
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