The study and creation of software for computers fall under a wide variety of names, including information technology (I.T.), computer science engineering (CSE), and computer science. Nowhere else can you find a more inspiring read for anybody considering a career in computer science or I.T. The work of Computer Science and Information Technology students, both present and past, is archived here.
Thus, it creates a database of state-of-the-art ideas for future artificial intelligence (A.I.) initiatives in computer science, information technology, and software engineering. Before diving deeper into artificial intelligence research, it’s helpful to understand the many types of robots and how they compare. Keeping a firm grasp on these abilities will serve you well in the long run.
If you’re a senior in an engineering or I.T. program and want to know which seven ideas have the most potential for artificial intelligence projects, you’ve come to the right spot. Mainting the grip on these skills will be very helpful in future.
For vehicle recognition and counting, a computer vision system
Cities attract residents because of the convenience of being close to essential public services like schools, hospitals, and workplaces. Congestion is a big issue in many of the world’s largest cities. Congestion on the roads results from some factors.
There will be more cars on the road as the urban population grows. Because of the increase in the people, the government has had to construct additional routes, reducing the efficiency of the existing network. In crowded metropolitan areas, traffic delays can occur when roadways simply can’t keep up with the volume of vehicles.
For instance, if you’re interested in intelligent transportation and traffic management, taking public transit is not unlike implementing a system to recognize and tally individual autos. Lack of access to real-time traffic data is also a factor in poorly coordinated traffic systems.
Impairment Detection System for Drivers
Over 1.3 million people died in traffic-related incidents in 2018, according to the World Health Organization. (WHO).
In 2017, 91,000 people were killed in car accidents involving sleepy driving, and 795 people were killed due to fatigue, according to the annual report on road mortality issued by the National Highway Traffic Safety Administration (NHTSA).
However, tired motorists are a contributing factor in traffic mishaps. After two or three hours on the road, researchers have observed a comparable reduction in a driver’s energy and steering ability.
The dangers are the same at lunchtime, in the early afternoon, and at midnight. Drowsiness might be misinterpreted as exhaustion while actively engaging in a task.
The Driver Drowsiness Detection System can detect three distinct stages of wakefulness by doing so: REM sleep, non-REM sleep, and normal wakefulness (NREM).
Predicted Keywords and Synopsis of the Film
Thanks to social tagging, people may learn about and experience new forms of creative expression, stories, songs, facts, and emotions. This information may be used to refine computer programs that categorize movies.
Moviegoers may get a sense of what to anticipate with the help of automated ratings, and they can find more films like the ones they like using recommendation algorithms. This project’s objective is to collect data about movies and film synopses.
Using this technique, we were able to generate 70 tags that emphasize various aspects of film plots and examine the multi-label interactions between these tags and over 14,000 plot summaries.
The film’s genre and its characters’ development are considered to reach a conclusion as to the accuracy of the designations. Finally, this dataset will be used to investigate whether or not tag values can be deduced from plot summaries.
Evidence from our studies suggests that this corpus will be useful for further narrative analysis applications.
The user experience suffers when labels are inaccurate. a. Reasonable latency and high recall in tag prediction.
Forensic Pictures Made by a Computer
The use of machine learning methods has greatly simplified image processing processes. A picture editing program was used to make adjustments and enhance the image. Access to forensic drawings made with GAN is now possible thanks to data from image generators.
Automating the production of and the recognition of faces in visual material has long been a goal of researchers in computer vision, image processing, and machine learning.
We employ machine learning techniques and technologies to create an image that looks very much like a drawing. Creating forensic photos more quickly using this method may produce more compelling graphics. Fewer humans are needed to complete the task now that so much of it can be automated.
The network’s generator and discriminator can only be used when proper training has been completed.
The discriminator and the generator can be trained separately.
Learning to Recognize a Credit Card Scam
Using a stolen credit card might be a criminal offense. The key objectives of this research are (1) to classify the wide varieties of counterfeit credit cards and (2) to evaluate the relative merits of various methods for identifying fraudulent activity. New studies on detecting credit card fraud will also be reviewed and debated.
This site provides easy access to definitions of essential phrases and valuable statistics on credit card fraud. New and varied procedures may be adopted, necessitated, or required by the credit card industry or financial institutions in response to the specific types of fraud they experience.
It is anticipated that the suggestions made in this study would save money. This procedure is emphasized as a precaution against credit card theft.
It raises ethical concerns when decent people are falsely accused of crimes like credit card fraud. There are many alternative names for logistic regression.
Artificial Intelligence in Video Games
A.I. applications have also found widespread use in the gaming sector. A.I. allows developers to make NPCs (non-player characters) that are both intelligent and human-like, allowing for more realistic player-NPC interactions.
Predicting how people will behave is another use that might improve game development and playtest. In Alien: Isolation, a 2014 video game, artificial intelligence continually shadows the player. The game uses A.I. in several forms, such as the ever-vigilant “Director AI” and the sensor- and behavior-driven “Alien AI.”
An Application of A.I. in Marketing
As in other areas of business, marketing extensively uses AI-powered software applications.
By monitoring user behavior, identifying trends with machine learning, etc., artificial intelligence (AI) paves the way for more relevant and personalized advertising. Improving results and reducing customers’ suspicion of and aggravation with your adverts are two additional benefits of retargeting at opportune times.
To help with content marketing, A.I. might be taught to write in the same tone and voice that the brand always has. It may also be used for more routine tasks like keeping tabs on results and putting out marketing reports.
Chatbots powered by AI, NLP (Natural Language Processing), NLG (Natural Language Generation), and NLU (Natural Language Understanding) can understand what users are saying and respond in a completely natural way.
An example usage of A.I. in marketing is tailoring a campaign to the unique characteristics of a local market. It also can provide real-time customizations to users based on their behavior.
As a result, there are several ways in which you might incorporate A.I. into your daily routine. Try your hand at artificial intelligence with these practice problems. These activities will help you learn A.I. more quickly and prepare you for the workforce.
Don’t let your lack of AI expertise stop you from participating in innovative projects.