Recent Trends in Artificial Intelligence & its Applications

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Total articles ≅ 9
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Manish Kumar, Harshali Patil
Abstract:
A computer can completely perform like a person thanks to the advancement of information technology. A machine that responds and performs like a human brain is required for AI, an amazing feature of information technology. Touch and speech are recognized by the system as qualities that can be used to operate potential daily operations without human intervention. Artificial intelligence, on the other hand, is the study of an intelligence "agent" that effectively completes a task while taking the state of the environment into account. The majority of computing systems are created to fulfil certain functions based on the context, applying special traits drawn from components of human nature that exist inherently. Using approaches and understanding of higher-level human-inspired elements, judgement, and emotions flow working, artificial intelligence frequently collaborates with mankind to fix the problem. Artificial intelligence is intelligence based on machines as opposed to human intelligence. A single person cannot manage the complexity of activities and the volume of information needed to secure cyberspace without significant automation. But in order to adequately defend against security risks, technology and software with conventional fixed implementations are challenging to design. AI machine learning and simplification techniques can be used to treat this issue. After reviewing the available artificial intelligence software for cyber security, we may assume that useful applications currently exist. They employ neural networks to first secure the perimeter and many other cyber security domains. On the other hand, it was evident that certain cyber security issues could only be effectively solved by the application of artificial intelligence techniques. This study paper's objective is to assess the existing difficulties posed by artificial intelligence for cyber security. The research report will include ground-breaking suggestions for AI in cyber security.
Ganesh Sanjay Mane, Flavia Gonsalves
Abstract:
Inexpensive -priced the display is based on a visual sensor that detects color. To speed up the color recovery from detector signals, artificial neural organizing models are used. The sensor's parallel potential is efficiently converted to RGB colors. The manufactured brilliantly models displayed in this work empower color changes beginning at equivalent relent the detector for color. Other than, converse modeling bolstered by a cleverly approach empowers the detector test for used of a photometric detector this associate color exchange into match energy
Abhinav Mishra, Amit Katoch, Abhay Tiwari, Himanshu Kumar
Abstract:
The project ‘Virtual Drag’ (Artificial Intelligence) is a OpenCV based system. This will allow the user to virtually click and drag the pictures and items on the screen to other parts of the screen without use of mouse. The system will detect the hand landmarks on the palm, using those pin points and distance between the fingertips the system will be able to perform the operation. Virtual Drag utilizes the prominent gestures of your hand to drag and drop the images from one   place to another. User needs to snap the fingers together to pick the image and then drag to any part of the screen and then drop by moving the fingers away. The system is based on the Mediapipe library provided by Google and the Python language.
Khyati Singh, Adya Sharma, Swati Agarwal, Amit Sharma
Abstract:
Artificial Intelligence (AI) is playing a major role now days in our daily routine. AI has changed our life in many ways. There are various AI Techniques that have their wide applications in engineering, gaming industry automation. Artificial intelligence refers to the process of simulating human intelligence into machines. The machines can be programmed to think like human beings and thus ac like them. AI term is also applied to a machine the performs as human mind in the same manner as humans do during learning and problem solving.
Nikita Yadav, Pooja Sonwane, Hrishikesh Mahajan, Swapnil Gupta
Abstract:
With the help of internet technology, we can now stay connected with anyone and from almost any corner of the world. The same widely spread internet network can be utilized to help out students in study during this corona time. This system is related to learning system “Simlilearn” proposed here aim at providing easy way of study for students as well as for teachers for teaching. This system can use by both teachers and students. By this teacher can create class for student for giving them notes and taking online class by sharing link to students. Teacher can upload notes, notice related to study, class work, home work etc.Only those students can join how code which is given by teacher has. It is easy to use for anyone. It is mainly developed for teaching system. In this digital world It is very useful and playing an important role in our life.
B.Rasina Begum, A.Abdhur Rahman
Abstract:
We, at present, are witnessing a severe and faster change in the field of intelligence than in any other period in the history of human evolution and it is most likely to evolve at the same pace or even much faster in the coming years. What was once considered ‘physical involvement of humans’ is becoming obsolete with technology advancement, global unexpected disasters like climate change, viral diseases and even political issues which in turn causing an unprecedented turmoil of larger magnitude as well as opportunity for both society and businesses alike. All these technology advancements need to be filtered down into a perfect system which leads to the evolution of new field called Hyperautomatin.This hyperautomation, still in its early stage of adaptation, impacts the lives of millions of ordinary people and businesses. This paper is about the impact of this technology and how it is impacting in varying scales.
Ramya N
Abstract:
Visually impaired people's mobility is limited within their surroundings, preventing them from living independently because of their inability to see. This project aims at providing an efficient solution by providing a virtual assistant to them. This assistant is a gadget which consists of a Bluetooth headset (wearable) and a camera installed in spectacles. It helps them to navigate around places, read texts and detect obstacles through voice commands generated by the gadget. The navigation from user’s current position to their destination is done using GPS (Global Positioning System). The obstacle detection can be done by getting information from surrounding area through mounted ultrasonic sensors. The user can gain information such as expiry date of a product or name of a nearby shop by giving explicit voice commands which is achieved using text to speech conversion.
Anjali Vyas, Khushboo Pawar, Yogita Dalal, Pankaj Chirmade
Abstract:
Today incorporationofestimationanddecision analysis is required by analytical systems. Predictingthe item sales is a very tough challenge so the business organization depends on the predictions of sales trends. Accuracy obtained in sales predictions serves as a boon to business organizations. Machinelearning algorithms are efficient and effective for extractinghidden information from a huge dataset to enhance efficiency and accuracy of sales prediction. The detailed study and analysis of predictive models is used to performfuture sales predictions. Theproblem with traditional prediction systems is that they are tough to deal with the enormous dataset inorder to providethe accurate prediction. To overcome these challenges various machine learning techniques and algorithms can be used. On the basis of their performance, the model which gives more accuracy will be used to predict forecasting trends. The results obtained are encapsulated collectively in terms of accuracy, reliability and efficiency of the techniques that are used for forecasting and prediction.
Vinay Kumar Singh, Archana Singh
Abstract:
Evolutionary computation is a widely used optimization technique. These algorithms have been applied to numerous problems such as mathematical complex problems and real world problems. The good point about these algorithms is that they give benefits to people who are doing research on very challenging problems that need optimization. Some of the benefits that researchers get are that they are simple to implement and provide a good response to any type of input when the environment is changing at a rapid pace. In real world there are large combinatorial problems that are to be optimized and cannot be solved with exact answers. When these evolutionary algorithms are combined with local search, they provide improved approximation using local search technique. The bad thing about local search used along is that it gets stuck in local optimum, and in this situation the objective function of the problem can be enhanced when the changes are made out of the current state neighbors during the search. This problem gives a way to hybridize the evolutionary algorithms with some other search and optimization methods and also the local search algorithms. Current research paper identifies different ways that can be used for efficiently hybridizing the evolutionary algorithms with other search and optimization techniques to provide optimized solutions to engineering problems especially, the Wireless Sensor Networks (WSN).
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