In today’s fast-paced world, we all crave simplicity and efficiency. With the advent of artificial intelligence (AI), our quest for convenience has been greatly facilitated. AI has become an integral part of our lives, from how we shop to how we interact. AI has not only made our tasks easier and more efficient but has also enabled us to make better decisions and be more informed. From virtual assistants to automated customer service, AI has made our lives easier in many ways. The emergence of ChatGPT, an exemplary application of artificial intelligence (AI) in the field of natural language pr ..read more

In today’s competitive job market, sifting through countless resumes can be time-consuming and overwhelming. This is a major pain point for so many individuals, companies, and recruitment agencies. Resumes come in various formats and layouts, making it difficult to extract relevant information consistently. Resumes may contain different sections, such as personal details, work experience, education, skills, and more, but their placement and formatting can vary significantly. Additionally, candidates may use different terminologies and phrases to describe their skills and experiences, making it ..read more

In today’s digital age, businesses are constantly seeking ways to improve their customer engagement and experience. Integrating communication tools with conversational platforms is one way to achieve this. Twilio, a cloud communications platform, and Dialogflow CX, a conversational AI platform, have joined forces to offer a seamless integration for businesses looking to build powerful conversational experiences. With this integration, businesses can leverage Twilio’s messaging and voice capabilities, combined with Dialogflow CX’s natural language understanding and intent recognition, to create ..read more

What is webhook? A webhook is a user defined HTTP callback that is automatically invoked whenever certain criteria is fulfilled. A webhook can be created in any server-side programming language like Python, PHP or Node.js. You can read more about webhook here. In Dialogflow, a webhook can be used to fetch data from your server whenever a certain intent having webhook enabled (don’t worry, we will see that) is invoked. The information from the intent is passed to the webhook service to receive the result. We are going to use Ngrok, (a web tunneling tool) that can be used to call webhook from yo ..read more

About Dialogflow Dialogflow CX tutorial for beginners Part 1 Let’s begin the Appointment Chatbot development. 1. Google signup To start using Dialogflow you need to have a Google Account. If you already use Gmail, you can log in using that account. Or you can create a new Google account. 2. Create a Project To start with a new chatbot development in Dialogflow, we need to create a project. And make sure that Dialogflow API is enabled from your Google Cloud Console.  If your API is not enabled refer to this https://support.google.com/googleapi/answer/6158841?hl=en document. And Enable Dia ..read more

Introduction Extracting video, image URLs, and text from the webpage can be done easily with selenium and beautiful soup in python. If there are URLs like “https://…video.mp4” as the src then we can directly access those videos. However, there are so many websites that use the blob format URLs like src=”blob:https://video_url”. We can extract them using selenium + bs4 but we can not access them directly because those are generated internally by the browser. What are BLOB URLs? Blob URLs can only be generated internally by the browser. URL.createObjectURL() will create a special reference to th ..read more

Introduction Welcome to our tutorial on deploying a machine learning (ML) model on Amazon Web Services (AWS) Lambda using Docker. In this tutorial, we will walk you through the process of packaging an ML model as a Docker container and deploying it on AWS Lambda, a serverless computing service. By the end of this tutorial, you will have a working ML model that you can invoke through an API, and you will have gained a deeper understanding of how to deploy ML models on the cloud. Whether you are a machine learning engineer, data scientist, or developer, this tutorial is designed to be accessible ..read more

In this blog, we will discover how to build a Slack bot, add it to our slack channel, and receive text replies from ChatGPT. Step 1: Create Slack Bot Slack Bot must be created in order to automate messages with ChatGPT. Please follow the directions from steps 1 to 23 in our blog post Slack Bot with Python. Before moving forward, please make sure that you followed the blog’s instructions. Step 2: ChatGPT API Please view our recent blog post, WhatsApp Chatbot With ChatGPT Step 2 “ChatGPT API”, which includes guidelines for configuring and utilising ChatGPT Step 3: Integrate ChatGPT API with Flas ..read more

This blog shows how to utilize Facebook Messenger Chatbot, Flask, and ChatGPT together to provide text messages with detailed responses. Step 1: Create a Facebook Chatbot We must create the Facebook Messenger Chatbot in order to automate the messages with ChatGPT. Please follow the steps from step 1 to step 8 in our blog post on the Facebook Messenger Bot. Before continuing, please make sure you followed the blog’s instructions. Step 2: ChatGPT API  You can check out our blog WhatsApp Chatbot With ChatGPT Step 2 “ChatGPT API” which has instructions for setting up and using ChatGPT. Step 3 ..read more

We all agree to a point that by now we not only have heard about ChatGPT but also got a hands-on experience with it and we Loved it! For those who haven’t got a chance to get in touch with ChatGPT here is a brief introduction: ChatGPT is a large language model trained by OpenAI, and it was designed to assist users by generating human-like text based on the given prompt. It can help with a wide range of tasks, such as answering questions, providing information, and engaging in conversations on a variety of topics. On top of that ChatGPT has left us dumbstruck by generating incredible answers to ..read more