app.chatgptbuilder.io
Open in
urlscan Pro
34.70.176.75
Public Scan
Submitted URL: https://www.freechatbotcourse.com/
Effective URL: https://app.chatgptbuilder.io/webchat/?p=1861403&u=1000804916&c=58533171&ref=:b-1684699582029-1684699582030
Submission: On August 14 via api from US — Scanned from US
Effective URL: https://app.chatgptbuilder.io/webchat/?p=1861403&u=1000804916&c=58533171&ref=:b-1684699582029-1684699582030
Submission: On August 14 via api from US — Scanned from US
Form analysis 0 forms found in the DOM
Text Content
Web Course Done Done Hello Hello! Welcome to the ChatGPT builder certification program. Are you ready to start with the first module on Introduction to Chatbot Design? Yes Great! Let's get started. Module 1: Introduction to Chatbot Design Course Content: Chatbots, or conversational agents, are software applications that mimic written or spoken human speech for the purpose of simulating a conversation with a real person. There are two primary types of chatbots: Rule-Based and Self-learning bots. 1. Rule-Based Chatbots: These chatbots are designed to follow pre-determined paths and respond to specific commands. They are effective for simple user interactions. 2. Self-Learning Chatbots: These bots use Machine Learning algorithms and Natural Language Processing to learn from user interactions and get better over time. They can handle complex interactions. An effective chatbot design requires understanding user needs, defining clear goals, scripting dialogues, and choosing the right platform for deployment. Now, let's move on to the first question: Question 1: Which type of chatbot is better equipped to handle complex user interactions? A) Rule-Based Chatbots B) Self-Learning Chatbots C) Both are equally equipped D) Neither of them can handle complex interactions Done Done Hi Hello! How can I assist you today? Are you interested in the ChatGPT Builder Certification Program? Yes Great! Let's get started with the first module: Introduction to Chatbot Design. Chatbots, also known as conversational agents, are software applications developed to imitate human speech patterns in written or spoken form, with the aim of facilitating a dialogue with a real person. There are two main types of chatbots: Rule-Based and Self-Learning bots. 1. Rule-Based Chatbots: These bots are engineered to adhere to pre-defined paths and respond to specific instructions. They are quite effective for basic user interactions. 2. Self-Learning Chatbots: Such bots employ Machine Learning algorithms and Natural Language Processing to learn from user interactions and improve over time. They are capable of managing complex interactions. Designing an efficient chatbot entails understanding user needs, setting clear objectives, scripting dialogues, and selecting the appropriate platform for deployment. Now that you've gone through the course content, are you ready for the first question? Yes Great! Here's your first question: Which type of chatbot is better equipped to manage complex user interactions? A) Rule-Based Chatbots B) Self-Learning Chatbots C) Both are equally equipped D) Neither of them can handle complex interactions B That's correct! The answer is B) Self-Learning Chatbots. They leverage Machine Learning algorithms and Natural Language Processing to manage complex interactions and learn from user inputs. Your current score is 1/1. You have 2 questions remaining in this module. Your answers thus far are: 1. Question 1: Your Answer - B) Self-Learning Chatbots, Correct Answer - B) Self-Learning Chatbots Keep up the good work! Are you ready for the next question? Yea Fantastic! Here's your second question: What are the key elements in designing an efficient chatbot? A) Understanding user needs, setting clear objectives, scripting dialogues, and selecting the appropriate platform for deployment. B) Choosing a catchy name, designing a logo, and marketing. C) Programming complex algorithms and using high-end hardware. D) None of the above. Please select the correct option. A That's correct! The answer is A) Understanding user needs, setting clear objectives, scripting dialogues, and selecting the appropriate platform for deployment. These are the key elements in designing an efficient chatbot. Your current score is 2/2. You have 1 question remaining in this module. Your answers thus far are: 1. Question 1: Your Answer - B) Self-Learning Chatbots, Correct Answer - B) Self-Learning Chatbots 2. Question 2: Your Answer - A) Understanding user needs, setting clear objectives, scripting dialogues, and selecting the appropriate platform for deployment, Correct Answer - A) Understanding user needs, setting clear objectives, scripting dialogues, and selecting the appropriate platform for deployment Great job! Are you ready for the final question in this module? Yes Excellent! Here's your final question for this module: What is the primary purpose of a chatbot? A) To replace human interaction completely B) To facilitate a dialogue with a real person by imitating human speech patterns C) To perform complex calculations and data analysis D) To entertain users with jokes and games Please select the correct option. B That's correct! The answer is B) To facilitate a dialogue with a real person by imitating human speech patterns. This is the primary purpose of a chatbot. Your current score is 3/3. You have completed all the questions in this module. Your answers are: 1. Question 1: Your Answer - B) Self-Learning Chatbots, Correct Answer - B) Self-Learning Chatbots 2. Question 2: Your Answer - A) Understanding user needs, setting clear objectives, scripting dialogues, and selecting the appropriate platform for deployment, Correct Answer - A) Understanding user needs, setting clear objectives, scripting dialogues, and selecting the appropriate platform for deployment 3. Question 3: Your Answer - B) To facilitate a dialogue with a real person by imitating human speech patterns, Correct Answer - B) To facilitate a dialogue with a real person by imitating human speech patterns Congratulations on successfully completing the first module! Are you ready to proceed to the next module? Yes Great! The next module will be available shortly. In the meantime, feel free to review the material from the first module or ask any questions you might have. Happy learning! Iโm ready for the next one Fantastic! Let's move on to the next module. Module 2: Understanding User Needs and Setting Clear Objectives Course Content: Understanding user needs is a critical aspect of chatbot design. It involves identifying the problems users are trying to solve and how a chatbot can assist in solving them. This could range from answering frequently asked questions, booking appointments, or providing recommendations based on user preferences. Setting clear objectives is equally important. These objectives should align with both user needs and business goals. For instance, if a business goal is to reduce customer service costs, a chatbot could be designed to handle common queries, thereby reducing the load on human customer service representatives. Once you've absorbed the content of this module, you'll be required to answer the corresponding questions accurately to move forward. Are you ready for the first question of this module? Done Done Done Done Done Done Done Done Done Done Done Done Done Done Done Done Done Done Done Done Done Done Done Done Done Done Done Done Done Done Done Done Done Done Done Done Done Done Done Done Done Done Done Done Done Done Search Search Results Frequently Used * ๐ * ๐ * ๐ * ๐ * ๐ * ๐ * ๐ * ๐ * ๐ฑ Smileys & People * ๐ * ๐ * ๐ * ๐คฃ * ๐ * ๐ * ๐ * ๐ * ๐ * ๐ * ๐ * ๐ * ๐ * ๐ * ๐ * ๐ * ๐ * โบ๏ธ * ๐ * ๐ค * ๐คฉ * ๐ค * ๐คจ * ๐ * ๐ * ๐ถ * ๐ * ๐ * ๐ฃ * ๐ฅ * ๐ฎ * ๐ค * ๐ฏ * ๐ช * ๐ซ * ๐ด * ๐ * ๐ * ๐ * ๐ * ๐คค * ๐ * ๐ * ๐ * ๐ * ๐ * ๐ค * ๐ฒ * โน๏ธ * ๐ * ๐ * ๐ * ๐ * ๐ค * ๐ข * ๐ญ * ๐ฆ * ๐ง * ๐จ * ๐ฉ * ๐คฏ * ๐ฌ * ๐ฐ * ๐ฑ * ๐ณ * ๐คช * ๐ต * ๐ก * ๐ * ๐คฌ * ๐ท * ๐ค * ๐ค * ๐คข * ๐คฎ * ๐คง * ๐ * ๐ค * ๐คก * ๐คฅ * ๐คซ * ๐คญ * ๐ง * ๐ค * ๐ * ๐ฟ * ๐น * ๐บ * ๐ * โ ๏ธ * ๐ป * ๐ฝ * ๐พ * ๐ค * ๐ฉ * ๐บ * ๐ธ * ๐น * ๐ป * ๐ผ * ๐ฝ * ๐ * ๐ฟ * ๐พ * ๐ * ๐ * ๐ * ๐ถ * ๐ง * ๐ฆ * ๐ง * ๐ง * ๐จ * ๐ฉ * ๐ง * ๐ด * ๐ต * ๐จโโ๏ธ * ๐ฉโโ๏ธ * ๐จโ๐ * ๐ฉโ๐ * ๐จโ๐ซ * ๐ฉโ๐ซ * ๐จโโ๏ธ * ๐ฉโโ๏ธ * ๐จโ๐พ * ๐ฉโ๐พ * ๐จโ๐ณ * ๐ฉโ๐ณ * ๐จโ๐ง * ๐ฉโ๐ง * ๐จโ๐ญ * ๐ฉโ๐ญ * ๐จโ๐ผ * ๐ฉโ๐ผ * ๐จโ๐ฌ * ๐ฉโ๐ฌ * ๐จโ๐ป * ๐ฉโ๐ป * ๐จโ๐ค * ๐ฉโ๐ค * ๐จโ๐จ * ๐ฉโ๐จ * ๐จโโ๏ธ * ๐ฉโโ๏ธ * ๐จโ๐ * ๐ฉโ๐ * ๐จโ๐ * ๐ฉโ๐ * ๐ฎโโ๏ธ * ๐ฎโโ๏ธ * ๐โโ๏ธ * ๐โโ๏ธ * ๐ทโโ๏ธ * ๐ทโโ๏ธ * ๐คด * ๐ธ * ๐ณโโ๏ธ * ๐ณโโ๏ธ * ๐ฒ * ๐ง * ๐ง * ๐ฑโโ๏ธ * ๐ฑโโ๏ธ * ๐คต * ๐ฐ * ๐คฐ * ๐คฑ * ๐ผ * ๐ * ๐คถ * ๐ง * ๐งโโ๏ธ * ๐งโโ๏ธ * ๐ง * ๐งโโ๏ธ * ๐งโโ๏ธ * ๐ง * ๐งโโ๏ธ * ๐งโโ๏ธ * ๐ง * ๐งโโ๏ธ * ๐งโโ๏ธ * ๐ง * ๐งโโ๏ธ * ๐งโโ๏ธ * ๐ง * ๐งโโ๏ธ * ๐งโโ๏ธ * ๐ง * ๐งโโ๏ธ * ๐งโโ๏ธ * ๐โโ๏ธ * ๐โโ๏ธ * ๐โโ๏ธ * ๐โโ๏ธ * ๐ โโ๏ธ * ๐ โโ๏ธ * ๐โโ๏ธ * ๐โโ๏ธ * ๐โโ๏ธ * ๐โโ๏ธ * ๐โโ๏ธ * ๐โโ๏ธ * ๐โโ๏ธ * ๐โโ๏ธ * ๐คฆโโ๏ธ * ๐คฆโโ๏ธ * ๐คทโโ๏ธ * ๐คทโโ๏ธ * ๐โโ๏ธ * ๐โโ๏ธ * ๐โโ๏ธ * ๐โโ๏ธ * ๐ถโโ๏ธ * ๐ถโโ๏ธ * ๐โโ๏ธ * ๐โโ๏ธ * ๐ * ๐บ * ๐ฏโโ๏ธ * ๐ฏโโ๏ธ * ๐ง * ๐งโโ๏ธ * ๐งโโ๏ธ * ๐ง * ๐งโโ๏ธ * ๐งโโ๏ธ * ๐ง * ๐งโโ๏ธ * ๐งโโ๏ธ * ๐ * ๐ * ๐ด๏ธ * ๐ฃ๏ธ * ๐ค * ๐ฅ * ๐คบ * ๐ * โท๏ธ * ๐ * ๐โโ๏ธ * ๐โโ๏ธ * ๐ฃโโ๏ธ * ๐ฃโโ๏ธ * ๐โโ๏ธ * ๐โโ๏ธ * ๐ดโโ๏ธ * ๐ดโโ๏ธ * ๐ตโโ๏ธ * ๐ตโโ๏ธ * ๐๏ธ * ๐๏ธ * ๐คธโโ๏ธ * ๐คธโโ๏ธ * ๐คผโโ๏ธ * ๐คผโโ๏ธ * ๐คฝโโ๏ธ * ๐คฝโโ๏ธ * ๐คพโโ๏ธ * ๐คพโโ๏ธ * ๐คน * ๐ซ * ๐ฌ * ๐ญ * ๐ฉโโค๏ธโ๐โ๐จ * ๐จโโค๏ธโ๐โ๐จ * ๐ฉโโค๏ธโ๐โ๐ฉ * ๐ฉโโค๏ธโ๐จ * ๐จโโค๏ธโ๐จ * ๐ฉโโค๏ธโ๐ฉ * ๐จโ๐ฉโ๐ฆ * ๐จโ๐ฉโ๐ง * ๐จโ๐ฉโ๐งโ๐ฆ * ๐จโ๐ฉโ๐ฆโ๐ฆ * ๐จโ๐ฉโ๐งโ๐ง * ๐จโ๐จโ๐ฆ * ๐จโ๐จโ๐ง * ๐จโ๐จโ๐งโ๐ฆ * ๐จโ๐จโ๐ฆโ๐ฆ * ๐จโ๐จโ๐งโ๐ง * ๐ฉโ๐ฉโ๐ฆ * ๐ฉโ๐ฉโ๐ง * ๐ฉโ๐ฉโ๐งโ๐ฆ * ๐ฉโ๐ฉโ๐ฆโ๐ฆ * ๐ฉโ๐ฉโ๐งโ๐ง * ๐จโ๐ฆ * ๐จโ๐ฆโ๐ฆ * ๐จโ๐ง * ๐จโ๐งโ๐ฆ * ๐จโ๐งโ๐ง * ๐ฉโ๐ฆ * ๐ฉโ๐ฆโ๐ฆ * ๐ฉโ๐ง * ๐ฉโ๐งโ๐ฆ * ๐ฉโ๐งโ๐ง * ๐คณ * ๐ช * ๐ * ๐ * โ๏ธ * ๐ * ๐ * ๐ * โ๏ธ * ๐ค * ๐ * ๐ค * ๐ค * ๐๏ธ * โ * ๐ * ๐ * ๐ * โ * ๐ * ๐ค * ๐ค * ๐ค * ๐ * ๐ค * โ๏ธ * ๐ * ๐ * ๐ * ๐คฒ * ๐ * ๐ค * ๐ * ๐ * ๐ * ๐ฃ * ๐ * ๐๏ธ * ๐ง * ๐ * ๐ * ๐ * ๐ * โค๏ธ * ๐ * ๐ * ๐ * ๐ * ๐ * ๐ * ๐ * ๐ * ๐งก * ๐ * ๐ค * ๐ * ๐ * ๐ * โฃ๏ธ * ๐ * ๐ค * ๐ข * ๐ฃ * ๐ฅ * ๐ฆ * ๐จ * ๐ซ * ๐ฌ * ๐จ๏ธ * ๐ฏ๏ธ * ๐ญ * ๐ณ๏ธ * ๐ * ๐ถ๏ธ * ๐ * ๐ * ๐ * ๐งฃ * ๐งค * ๐งฅ * ๐งฆ * ๐ * ๐ * ๐ * ๐ * ๐ * ๐ * ๐ * ๐๏ธ * ๐ * ๐ * ๐ * ๐ * ๐ก * ๐ข * ๐ * ๐ * ๐ฉ * ๐ * ๐งข * โ๏ธ * ๐ฟ * ๐ * ๐ * ๐ Animals & Nature * ๐ต * ๐ * ๐ฆ * ๐ถ * ๐ * ๐ฉ * ๐บ * ๐ฆ * ๐ฑ * ๐ * ๐ฆ * ๐ฏ * ๐ * ๐ * ๐ด * ๐ * ๐ฆ * ๐ฆ * ๐ฆ * ๐ฎ * ๐ * ๐ * ๐ * ๐ท * ๐ * ๐ * ๐ฝ * ๐ * ๐ * ๐ * ๐ช * ๐ซ * ๐ฆ * ๐ * ๐ฆ * ๐ญ * ๐ * ๐ * ๐น * ๐ฐ * ๐ * ๐ฟ๏ธ * ๐ฆ * ๐ฆ * ๐ป * ๐จ * ๐ผ * ๐พ * ๐ฆ * ๐ * ๐ * ๐ฃ * ๐ค * ๐ฅ * ๐ฆ * ๐ง * ๐๏ธ * ๐ฆ * ๐ฆ * ๐ฆ * ๐ธ * ๐ * ๐ข * ๐ฆ * ๐ * ๐ฒ * ๐ * ๐ฆ * ๐ฆ * ๐ณ * ๐ * ๐ฌ * ๐ * ๐ * ๐ก * ๐ฆ * ๐ * ๐ * ๐ฆ * ๐ฆ * ๐ฆ * ๐ * ๐ฆ * ๐ * ๐ * ๐ * ๐ * ๐ฆ * ๐ท๏ธ * ๐ธ๏ธ * ๐ฆ * ๐ * ๐ธ * ๐ฎ * ๐ต๏ธ * ๐น * ๐ฅ * ๐บ * ๐ป * ๐ผ * ๐ท * ๐ฑ * ๐ฒ * ๐ณ * ๐ด * ๐ต * ๐พ * ๐ฟ * โ๏ธ * ๐ * ๐ * ๐ * ๐ Food & Drink * ๐ * ๐ * ๐ * ๐ * ๐ * ๐ * ๐ * ๐ * ๐ * ๐ * ๐ * ๐ * ๐ * ๐ฅ * ๐ * ๐ฅฅ * ๐ฅ * ๐ * ๐ฅ * ๐ฅ * ๐ฝ * ๐ถ๏ธ * ๐ฅ * ๐ฅฆ * ๐ * ๐ฅ * ๐ฐ * ๐ * ๐ฅ * ๐ฅ * ๐ฅจ * ๐ฅ * ๐ง * ๐ * ๐ * ๐ฅฉ * ๐ฅ * ๐ * ๐ * ๐ * ๐ญ * ๐ฅช * ๐ฎ * ๐ฏ * ๐ฅ * ๐ฅ * ๐ณ * ๐ฅ * ๐ฒ * ๐ฅฃ * ๐ฅ * ๐ฟ * ๐ฅซ * ๐ฑ * ๐ * ๐ * ๐ * ๐ * ๐ * ๐ * ๐ * ๐ข * ๐ฃ * ๐ค * ๐ฅ * ๐ก * ๐ฅ * ๐ฅ * ๐ฅก * ๐ฆ * ๐ง * ๐จ * ๐ฉ * ๐ช * ๐ * ๐ฐ * ๐ฅง * ๐ซ * ๐ฌ * ๐ญ * ๐ฎ * ๐ฏ * ๐ผ * ๐ฅ * โ * ๐ต * ๐ถ * ๐พ * ๐ท * ๐ธ * ๐น * ๐บ * ๐ป * ๐ฅ * ๐ฅ * ๐ฅค * ๐ฅข * ๐ฝ๏ธ * ๐ด * ๐ฅ * ๐ช * ๐บ Activity * ๐ * ๐ * ๐ * ๐ * โจ * ๐ * ๐ * ๐ * ๐ * ๐ * ๐ * ๐ * ๐ * ๐ * ๐ * ๐ * ๐๏ธ * ๐๏ธ * ๐ซ * ๐๏ธ * ๐ * ๐ * ๐ฅ * ๐ฅ * ๐ฅ * โฝ * โพ * ๐ * ๐ * ๐ * ๐ * ๐พ * ๐ฑ * ๐ณ * ๐ * ๐ * ๐ * ๐ * ๐ธ * ๐ฅ * ๐ฅ * ๐ฅ * ๐ฏ * โณ * โธ๏ธ * ๐ฃ * ๐ฝ * ๐ฟ * ๐ท * ๐ฅ * ๐ฎ * ๐น๏ธ * ๐ฒ * โ ๏ธ * โฅ๏ธ * โฆ๏ธ * โฃ๏ธ * ๐ * ๐ * ๐ด Travel & Places * ๐ * ๐ * ๐ * ๐ * ๐บ๏ธ * ๐พ * ๐๏ธ * โฐ๏ธ * ๐ * ๐ป * ๐๏ธ * ๐๏ธ * ๐๏ธ * ๐๏ธ * ๐๏ธ * ๐๏ธ * ๐๏ธ * ๐๏ธ * ๐๏ธ * ๐๏ธ * ๐๏ธ * ๐ * ๐ก * ๐ข * ๐ฃ * ๐ค * ๐ฅ * ๐ฆ * ๐จ * ๐ฉ * ๐ช * ๐ซ * ๐ฌ * ๐ญ * ๐ฏ * ๐ฐ * ๐ * ๐ผ * ๐ฝ * โช * ๐ * ๐ * โฉ๏ธ * ๐ * โฒ * โบ * ๐ * ๐ * ๐ * ๐ * ๐ * ๐ * ๐ * โจ๏ธ * ๐ * ๐ * ๐ก * ๐ข * ๐ * ๐ช * ๐ญ * ๐ผ๏ธ * ๐จ * ๐ฐ * ๐ * ๐ * ๐ * ๐ * ๐ * ๐ * ๐ * ๐ * ๐ * ๐ * ๐ * ๐ * ๐ * ๐ * ๐ * ๐ * ๐ * ๐ * ๐ * ๐ * ๐ * ๐ * ๐ * ๐ * ๐ * ๐ * ๐ * ๐ * ๐ฒ * ๐ด * ๐ต * ๐ * ๐ฃ๏ธ * ๐ค๏ธ * โฝ * ๐จ * ๐ฅ * ๐ฆ * ๐ง * ๐ * โ * โต * ๐ถ * ๐ค * ๐ณ๏ธ * โด๏ธ * ๐ฅ๏ธ * ๐ข * โ๏ธ * ๐ฉ๏ธ * ๐ซ * ๐ฌ * ๐บ * ๐ * ๐ * ๐ * ๐ก * ๐ฐ๏ธ * ๐ * ๐ธ * ๐๏ธ * ๐ช * ๐๏ธ * ๐๏ธ * ๐ฝ * ๐ฟ * ๐ * โ * โณ * โ * โฐ * โฑ๏ธ * โฒ๏ธ * ๐ฐ๏ธ * ๐ * ๐ง * ๐ * ๐ * ๐ * ๐ * ๐ * ๐ * ๐ * ๐ * ๐ * ๐ * ๐ * ๐ก * ๐ * ๐ข * ๐ * ๐ฃ * ๐ * ๐ค * ๐ * ๐ฅ * ๐ * ๐ฆ * ๐ * ๐ * ๐ * ๐ * ๐ * ๐ * ๐ * ๐ * ๐ * ๐ * ๐ * ๐ * ๐ก๏ธ * โ๏ธ * ๐ * ๐ * โญ * ๐ * ๐ * โ๏ธ * โ * โ๏ธ * ๐ค๏ธ * ๐ฅ๏ธ * ๐ฆ๏ธ * ๐ง๏ธ * ๐จ๏ธ * ๐ฉ๏ธ * ๐ช๏ธ * ๐ซ๏ธ * ๐ฌ๏ธ * ๐ * ๐ * ๐ * โ๏ธ * โ * โฑ๏ธ * โก * โ๏ธ * โ๏ธ * โ * โ๏ธ * ๐ฅ * ๐ง * ๐ Objects * ๐ * ๐ * ๐ * ๐ * ๐ข * ๐ฃ * ๐ฏ * ๐ * ๐ * ๐ผ * ๐ต * ๐ถ * ๐๏ธ * ๐๏ธ * ๐๏ธ * ๐ค * ๐ง * ๐ป * ๐ท * ๐ธ * ๐น * ๐บ * ๐ป * ๐ฅ * ๐ฑ * ๐ฒ * โ๏ธ * ๐ * ๐ * ๐ * ๐ * ๐ * ๐ป * ๐ฅ๏ธ * ๐จ๏ธ * โจ๏ธ * ๐ฑ๏ธ * ๐ฒ๏ธ * ๐ฝ * ๐พ * ๐ฟ * ๐ * ๐ฅ * ๐๏ธ * ๐ฝ๏ธ * ๐ฌ * ๐บ * ๐ท * ๐ธ * ๐น * ๐ผ * ๐ * ๐ * ๐ฌ * ๐ญ * ๐ก * ๐ฏ๏ธ * ๐ก * ๐ฆ * ๐ฎ * ๐ * ๐ * ๐ * ๐ * ๐ * ๐ * ๐ * ๐ * ๐ * ๐ * ๐ * ๐ * ๐ฐ * ๐๏ธ * ๐ * ๐ * ๐ท๏ธ * ๐ฐ * ๐ด * ๐ต * ๐ถ * ๐ท * ๐ธ * ๐ณ * ๐น * ๐ฑ * ๐ฒ * โ๏ธ * ๐ง * ๐จ * ๐ฉ * ๐ค * ๐ฅ * ๐ฆ * ๐ซ * ๐ช * ๐ฌ * ๐ญ * ๐ฎ * ๐ณ๏ธ * โ๏ธ * โ๏ธ * ๐๏ธ * ๐๏ธ * ๐๏ธ * ๐๏ธ * ๐ * ๐ผ * ๐ * ๐ * ๐๏ธ * ๐ * ๐ * ๐๏ธ * ๐๏ธ * ๐ * ๐ * ๐ * ๐ * ๐ * ๐ * ๐ * ๐ * ๐๏ธ * ๐ * ๐ * โ๏ธ * ๐๏ธ * ๐๏ธ * ๐๏ธ * ๐ * ๐ * ๐ * ๐ * ๐ * ๐๏ธ * ๐จ * โ๏ธ * โ๏ธ * ๐ ๏ธ * ๐ก๏ธ * โ๏ธ * ๐ซ * ๐น * ๐ก๏ธ * ๐ง * ๐ฉ * โ๏ธ * ๐๏ธ * โ๏ธ * โ๏ธ * ๐ * โ๏ธ * ๐ * ๐ * ๐ฌ * โฐ๏ธ * โฑ๏ธ * ๐ฟ * ๐ข๏ธ * ๐ฎ * ๐ Symbols * ๐ง * ๐ฎ * ๐ฐ * โฟ * ๐น * ๐บ * ๐ป * ๐ผ * ๐พ * ๐ * ๐ * ๐ * ๐ * โ ๏ธ * ๐ธ * โ * ๐ซ * ๐ณ * ๐ญ * ๐ฏ * ๐ฑ * ๐ท * ๐ต * ๐ * โข๏ธ * โฃ๏ธ * โฌ๏ธ * โ๏ธ * โก๏ธ * โ๏ธ * โฌ๏ธ * โ๏ธ * โฌ ๏ธ * โ๏ธ * โ๏ธ * โ๏ธ * โฉ๏ธ * โช๏ธ * โคด๏ธ * โคต๏ธ * ๐ * ๐ * ๐ * ๐ * ๐ * ๐ * ๐ * ๐ * โ๏ธ * ๐๏ธ * โก๏ธ * โธ๏ธ * โฏ๏ธ * โ๏ธ * โฆ๏ธ * โช๏ธ * โฎ๏ธ * ๐ * ๐ฏ * โ * โ * โ * โ * โ * โ * โ * โ * โ * โ * โ * โ * โ * ๐ * ๐ * ๐ * โถ๏ธ * โฉ * โญ๏ธ * โฏ๏ธ * โ๏ธ * โช * โฎ๏ธ * ๐ผ * โซ * ๐ฝ * โฌ * โธ๏ธ * โน๏ธ * โบ๏ธ * โ๏ธ * ๐ฆ * ๐ * ๐ * ๐ถ * ๐ณ * ๐ด * โ๏ธ * โ๏ธ * โ๏ธ * โป๏ธ * โ๏ธ * ๐ฑ * ๐ * ๐ฐ * โญ * โ * โ๏ธ * โ๏ธ * โ๏ธ * โ * โ * โ * โ * โ * โฐ * โฟ * ใฝ๏ธ * โณ๏ธ * โด๏ธ * โ๏ธ * โผ๏ธ * โ๏ธ * โ * โ * โ * โ * ใฐ๏ธ * โข๏ธ * ๐ * ๐ฏ * ๐ * ๐ก * ๐ข * ๐ฃ * ๐ค * ๐ ฐ๏ธ * ๐ * ๐ ฑ๏ธ * ๐ * ๐ * ๐ * โน๏ธ * ๐ * โ๏ธ * ๐ * ๐ * ๐ พ๏ธ * ๐ * ๐ ฟ๏ธ * ๐ * ๐ * ๐ * ๐ * ๐๏ธ * ๐ท๏ธ * ๐ถ * ๐ฏ * ๐ * ๐น * ๐ * ๐ฒ * ๐ * ๐ธ * ๐ด * ๐ณ * ใ๏ธ * ใ๏ธ * ๐บ * ๐ต * โช๏ธ * โซ๏ธ * โป๏ธ * โผ๏ธ * โฝ * โพ * โฌ * โฌ * ๐ถ * ๐ท * ๐ธ * ๐น * ๐บ * ๐ป * ๐ * ๐ * ๐ฒ * ๐ณ * โช * โซ * ๐ด * ๐ต Flags * ๐ * ๐จ๐ณ * ๐ * ๐ฉ๐ช * ๐ช๐ธ * ๐ฆ๐จ * ๐ฆ๐ฉ * ๐ฆ๐ช * ๐ฆ๐ซ * ๐ฆ๐ฌ * ๐ฆ๐ฎ * ๐ฆ๐ฑ * ๐ฆ๐ฒ * ๐ฆ๐ด * ๐ฆ๐ถ * ๐ฆ๐ท * ๐ฆ๐ธ * ๐ฆ๐น * ๐ฆ๐บ * ๐ฆ๐ผ * ๐ฆ๐ฝ * ๐ฆ๐ฟ * ๐ง๐ฆ * ๐ง๐ง * ๐ง๐ฉ * ๐ง๐ช * ๐ง๐ซ * ๐ง๐ฌ * ๐ง๐ญ * ๐ง๐ฎ * ๐ง๐ฏ * ๐ง๐ฑ * ๐ง๐ฒ * ๐ง๐ณ * ๐ง๐ด * ๐ง๐ถ * ๐ง๐ท * ๐ง๐ธ * ๐ง๐น * ๐ง๐ป * ๐ง๐ผ * ๐ง๐พ * ๐ง๐ฟ * ๐จ๐ฆ * ๐จ๐จ * ๐จ๐ฉ * ๐จ๐ซ * ๐จ๐ฌ * ๐จ๐ญ * ๐จ๐ฎ * ๐จ๐ฐ * ๐จ๐ฑ * ๐จ๐ฒ * ๐จ๐ด * ๐จ๐ต * ๐จ๐ท * ๐จ๐บ * ๐จ๐ป * ๐จ๐ผ * ๐จ๐ฝ * ๐จ๐พ * ๐จ๐ฟ * ๐ฉ๐ฌ * ๐ฉ๐ฏ * ๐ฉ๐ฐ * ๐ฉ๐ฒ * ๐ฉ๐ด * ๐ฉ๐ฟ * ๐ช๐ฆ * ๐ช๐จ * ๐ช๐ช * ๐ช๐ฌ * ๐ช๐ญ * ๐ด๓ ง๓ ข๓ ฅ๓ ฎ๓ ง๓ ฟ * ๐ช๐ท * ๐ช๐น * ๐ช๐บ * ๐ซ๐ฎ * ๐ซ๐ฏ * ๐ซ๐ฐ * ๐ซ๐ฒ * ๐ซ๐ด * ๐ฌ๐ฆ * ๐ฌ๐ฉ * ๐ฌ๐ช * ๐ฌ๐ซ * ๐ฌ๐ฌ * ๐ฌ๐ญ * ๐ฌ๐ฎ * ๐ฌ๐ฑ * ๐ฌ๐ฒ * ๐ฌ๐ณ * ๐ฌ๐ต * ๐ฌ๐ถ * ๐ฌ๐ท * ๐ฌ๐ธ * ๐ฌ๐น * ๐ฌ๐บ * ๐ฌ๐ผ * ๐ฌ๐พ * ๐ญ๐ฐ * ๐ญ๐ฒ * ๐ญ๐ณ * ๐ญ๐ท * ๐ญ๐น * ๐ญ๐บ * ๐ฎ๐จ * ๐ฎ๐ฉ * ๐ฎ๐ช * ๐ฎ๐ฑ * ๐ฎ๐ฒ * ๐ฎ๐ณ * ๐ฎ๐ด * ๐ฎ๐ถ * ๐ฎ๐ท * ๐ฎ๐ธ * ๐ฏ๐ช * ๐ฏ๐ฒ * ๐ฏ๐ด * ๐ฐ๐ช * ๐ฐ๐ฌ * ๐ฐ๐ญ * ๐ฐ๐ฎ * ๐ฐ๐ฒ * ๐ฐ๐ณ * ๐ฐ๐ต * ๐ฐ๐ผ * ๐ฐ๐พ * ๐ฐ๐ฟ * ๐ฑ๐ฆ * ๐ฑ๐ง * ๐ฑ๐จ * ๐ฑ๐ฎ * ๐ฑ๐ฐ * ๐ฑ๐ท * ๐ฑ๐ธ * ๐ฑ๐น * ๐ฑ๐บ * ๐ฑ๐ป * ๐ฑ๐พ * ๐ฒ๐ฆ * ๐ฒ๐จ * ๐ฒ๐ฉ * ๐ฒ๐ช * ๐ฒ๐ซ * ๐ฒ๐ฌ * ๐ฒ๐ญ * ๐ฒ๐ฐ * ๐ฒ๐ฑ * ๐ฒ๐ฒ * ๐ฒ๐ณ * ๐ฒ๐ด * ๐ฒ๐ต * ๐ฒ๐ถ * ๐ฒ๐ท * ๐ฒ๐ธ * ๐ฒ๐น * ๐ฒ๐บ * ๐ฒ๐ป * ๐ฒ๐ผ * ๐ฒ๐ฝ * ๐ฒ๐พ * ๐ฒ๐ฟ * ๐ณ๐ฆ * ๐ณ๐จ * ๐ณ๐ช * ๐ณ๐ซ * ๐ณ๐ฌ * ๐ณ๐ฎ * ๐ณ๐ฑ * ๐ณ๐ด * ๐ณ๐ต * ๐ณ๐ท * ๐ณ๐บ * ๐ณ๐ฟ * ๐ด๐ฒ * ๐ต๐ฆ * ๐ต๐ช * ๐ต๐ซ * ๐ต๐ฌ * ๐ต๐ญ * ๐ต๐ฐ * ๐ต๐ฑ * ๐ต๐ฒ * ๐ต๐ณ * ๐ต๐ท * ๐ต๐ธ * ๐ต๐น * ๐ต๐ผ * ๐ต๐พ * ๐ถ๐ฆ * ๐ท๐ช * ๐ท๐ด * ๐ท๐ธ * ๐ท๐ผ * ๐ธ๐ฆ * ๐ธ๐ง * ๐ธ๐จ * ๐ด๓ ง๓ ข๓ ณ๓ ฃ๓ ด๓ ฟ * ๐ธ๐ฉ * ๐ธ๐ช * ๐ธ๐ฌ * ๐ธ๐ญ * ๐ธ๐ฎ * ๐ธ๐ฏ * ๐ธ๐ฐ * ๐ธ๐ฑ * ๐ธ๐ฒ * ๐ธ๐ณ * ๐ธ๐ด * ๐ธ๐ท * ๐ธ๐ธ * ๐ธ๐น * ๐ธ๐ป * ๐ธ๐ฝ * ๐ธ๐พ * ๐ธ๐ฟ * ๐น๐ฆ * ๐น๐จ * ๐น๐ฉ * ๐น๐ซ * ๐น๐ฌ * ๐น๐ญ * ๐น๐ฏ * ๐น๐ฐ * ๐น๐ฑ * ๐น๐ฒ * ๐น๐ณ * ๐น๐ด * ๐น๐ท * ๐น๐น * ๐น๐ป * ๐น๐ผ * ๐น๐ฟ * ๐บ๐ฆ * ๐บ๐ฌ * ๐บ๐ฒ * ๐บ๐พ * ๐บ๐ฟ * ๐ป๐ฆ * ๐ป๐จ * ๐ป๐ช * ๐ป๐ฌ * ๐ป๐ฎ * ๐ป๐ณ * ๐ป๐บ * ๐ด๓ ง๓ ข๓ ท๓ ฌ๓ ณ๓ ฟ * ๐ผ๐ซ * ๐ผ๐ธ * ๐ฝ๐ฐ * ๐พ๐ช * ๐พ๐น * ๐ฟ๐ฆ * ๐ฟ๐ฒ * ๐ฟ๐ผ * ๐ซ๐ท * ๐ฌ๐ง * ๐ฎ๐น * ๐ฏ๐ต * ๐ฐ๐ท * ๐ณ๏ธโ๐ * ๐ท๐บ * ๐ฉ * ๐บ๐ธ * ๐ด * ๐ณ๏ธ ๐ฌ Emoji