The installation of the pytesseract module might be slightly complicated. So, refer to a decent guide to get started wit

The best approach for face recognition is to make use of the DNN’s (deep neural networks). After the detection of faces, we can use the approach of deep learning to solve face recognition tasks. There is a huge variety of transfer learning models like VGG-16 architecture, RESNET-50 architecture, face net architecture, etc. which can simplify the procedure to construct a deep learning model and allow users to build high-quality face recognition systems.

More methods of pre-processing and natural language processing can be used to achieve a higher accuracy and reduced loss on the training of the model. This can also improve the overall predictions of the model. Advanced training algorithms like the GPT-3 model trained on almost 175 billion parameters works fantastic even for conversational chatbots and it is a great alternative method to train high-quality chatbots. Other methods like transfer learning based classification, sequence to sequence models with attention, or even certain one-shot learning methods for training can be used.

OCR engines have been developed into many kinds of domain-specific OCR applications, such as receipt OCR, invoice OCR, check OCR, legal billing document OCR. The various applications and utilizations of OCR technology in real-life scenarios are Data entry for business documents, e.g., Cheque, passport, invoice, bank statement, and receipt, Automatic number plate recognition, In airports, for passport recognition and information extraction, and so much more.

The power of Virtual Assistants powered by Artificial Intelligence is not limited to smartphones or computer devices. They can also be used in IoT devices and embedded systems to perform tasks effectively and control the entire surrounding around you. An example of this can be home automation using a Raspberry Pi, where you are able to control your entire house with a simple voice command.

Below is an example of a face recognition model built by me using the methods of VGG-16 transfer learning for face recognition after the face detection is performed by the haar cascade classifier. Check it out to learn a more detailed explanation of how exactly you can build your very own face recognition model.

Optical character recognition is the conversion of 2-Dimensional text data into a form of machine-encoded text by the use of an electronic or mechanical device. You use computer vision to read the image or text files. After reading the images, use the pytesseract module of python to read the text data in the image or the PDF and then convert them into a string of data that can be displayed in python.

Chatbots are used universally today on many websites to interact with the human users that arrive on the specific sites. They try to provide them effective communication and explain to the users how the company or industry works while providing detailed instructions and guides with spontaneous replies.

You can also build a custom deep learning model for solving the face recognition task. The modern models built for face recognition are highly accurate and provide an accuracy of almost over 99% for labeled datasets. The applications for the face recognition models can be used in security systems, surveillance, attendance systems, and a lot more.

If you are interested in building your very own chatbot from scratch with the help of deep learning and neural networks, specifically using 1-Dimensional Convolutional Layers, then feel free to check out the article below, where I have covered the following procedure in complete detail.

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many of its forms, is now the backbone of society. It’s the spine holding us up during this pandemic. To ignore it or rip it out is to reduce us to huddled masses of useless flesh. I think of my neighbor who, for reasons of her own, has no Internet or smartphone. She’s all but cut off from the world and crucial services (my wife is often stepping in to help). I think of the millions of people who would be unable to work if not for remote technology. I think of the children who would have to rely entirely on their parents for home education without computers, tablets, and Zoom. I think more prosaically of how we can get from point A to B without ever looking at a map and can find exactly what we need with a few keystrokes. I think of how the Internet is keeping the world supplied and making holiday gift giving possible without ever leaving the home.

A virtual assistant, also called an AI assistant or digital assistant, is an application program that understands natural language voice commands and completes tasks for the user. Virtual Assistants powered with AI technologies are becoming extremely popular and are taking over the world by a storm.

The haar cascade classifier can be used for the purpose of face detection and accurately detect multiple faces in the frame. The haar cascade classifier for frontal face is usually an XML file that can be used with the open-cv module for reading the faces and then detecting the faces. A machine learning model such as the histogram of oriented gradients (H.O.G) which can be used with labeled data along with support vector machines (SVM’s) to perform this task as well.

We have virtual assistants like Google AI, Siri, Alexa, Cortana, and many other similar virtual assistants. With the help of these assistants, we can pass commands, and using speech recognition, it tries to interpret what we are saying and automates/performs a realistic task. Using these virtual assistants, we can make calls, send messages or emails, or browse the web with just a simple voice command. We can also converse with these virtual assistants, and hence they can also act as chatbots.

The popularity of chatbots has been on the rise for the past decade. Chatbots are usually used for quick responses to most commonly asked questions on a particular website. Chatbots save time as well as reduce human labor and expenditure. There are so many types of chatbots, and each of them specializes, in particular, in one or a few fields. The best approach for knowing what kind of chatbot you want to build is as follows — If you want to build chatbots, the best approach is to look for what are your target audience, companies, or businesses. Making specific chatbots is ideal as you can greatly improve the performance of the distinct task.

The combination of AI and IoT is a big deal as they produce amazing results. With the integration of artificial intelligence in embedded IoT devices like raspberry pi and Nvidia Jetson Nano (Among many others) are capable of developing some masterpieces, which will be highly profitable and beneficial to society as a whole. Some popular examples of virtual assistants like Alexa, Siri, or Google AI show the high-level intellect and future possibilities.