ai presentation maker free

ai presentation maker free

AI Presentation Maker: Empowering You to Create Engaging Presentations

1. Introduction

The very recent explosion of deep learning has dramatically accelerated our progress in this area. Traditionally, our work in this field involved manually coding rules and heuristics to make different inferences about how to apply changes based on slide content. Now with deep learning, we can use pattern recognition on a large labelled datasets of presentations to make inferences about what changes to make. And while rule-based coding would take many months for a single feature to ensure it was polished with no mistakes, deep learning models are easier to dry run and iterate over many times so we can test and refine many more ideas in the same timespan. This is the first time in the history of our research we are able to quickly converge on so many ideas relevant to a problem so quickly. This is just a primer of the first phase of development of the tool and the works that will lead to it. It should give you an idea of the rich content that will follow as we show you how to use this tool and the science behind how it works.

First a little background. In my last year of college, I was working for a professor that was doing some preliminary work in analyzing video of presentations to detect patterns in nonverbal communication. He had a vision to create a tool that could help people practice their presentations by recording the practice sessions and giving feedback about how to improve. My first assignment was to create a Microsoft PowerPoint plugin that would help visualize the data he was getting from the video analysis. After just a few weeks, I showed him a prototype that could generate automatic slide transition recommendations based on the similarities of slide content and the presenter’s transitions in the practice session. From there, the plugin had evolved into a standalone tool and spawned a series of academic papers (and even more tools) on the subject of automatic slide design and visual aids for presentations. So the mission of this professor was, in essence, the future work for our AI tool. We had taken the first steps creating an algorithm to automate slide design, but now we are ready to develop a full presentation tool around the idea.

“AI Presentation Maker: Empowering you to create engaging presentations” is a testament to our past few years in working to create a tool that can make anyone better at creating presentations. Even better, it can make you a better presenter as well. And while we are excited about what the tool can do, we are equally excited to tell you about the science behind it. With the first version of this tool, we will take you through a process of creating a presentation with it. Through that, you’ll begin to see the transformation of how presentations can be made in the future and understand the underlying science behind the tool.

2. Features of AI Presentation Maker

• Use of deep learning: The AI works by learning from a large set of channeled data and fitting complex models to understand your data. It then uses this model to make predictions and decisions based on your other data. In terms of the PowerPoint add-on, it will work in a very similar way. By inputting a dataset into the AI, it will learn and analyze this set to create models. These models will then be used to analyze the data in the PowerPoint and provide insights and decisions based on it. This will be useful for creating visualizations using the raw data to show insights on certain slides. • Data analytics: The AI will be designed to analyze any given dataset. This will be useful for adding new data to a slide, where the AI will be able to analyze all the data on that slide and determine if an analysis or visualization can be done. After doing so, the AI will generate an analysis or prediction, which will be presented to the user with the option to add it to the slide. Finally, the AI will be able to scan through slides that contain data and suggest insights that could be derived from the data on the slide.

3. Benefits of Using AI Presentation Maker

Students with low confidence in speaking in public would dread making PowerPoint presentations. AI Presentation Maker helps reduce the pressure of presenting in front of the class by allowing students to create good, professional presentations that can express the main points in the slides effectively. Since the verbal information of the slide can be recorded, students do not have to waste effort memorizing elaborate text just to present them with unsure stuttering later. Instead, they can just spend that time practicing their verbal presentation to achieve better fluency. This can also serve as a good alternative for students with weaker literacy. No less useful are those with good confidence and ability to speak; they can focus on what they do best while AI Presentation Maker takes care of the slide design. Speakers are often told to pause the speech for effect, and using a recorded presentation, they can customize the length of time a slide is displayed to give that effect without disrupting the flow of their speech. A recorded presentation can also act as a backup in case there are problems with the oral presentation.

4. How to Get Started with AI Presentation Maker

Think about a subject you need to present on. Let’s say you’re an instructor of K-12 History and you need to create a report for your students discussing the American Civil War. Assuming you, as an average Joe instructor, do not know skiddly squat about the American Civil War, the smart thing to do would be to Wiki it, correct? Well, terrific news, that’s just what AI Presentation Maker did here. This screenshot illustrates the action of a particular software feature called “Automatic Document Suggestions”. In the green box, we see the typed phrase “American Civil War” into the search engine followed by clicking the “Go” button. At which point, the software populates a list of the various articles related to the American Civil War. Selecting one of the articles from the list will yield another list of specific excerpts from that article. Clicking a checkmark will add that particular excerpt to a queue on the right side of the screen. This is a great way for users to quickly gather information from online sources, without needing to entirely read and copy/paste the desired information. Although currently only functional with Wikipedia, the idea is there and development to include other online sources is planned.

5. Conclusion

Followed by the various positive developments in the field, it is also noted that there are few downfalls to the concept of automation in healthcare, which are discussed as a part of the future scope of the project. With the concept of future work, we finally completed the project with a detailed study about the future of healthcare and health informatics. Overall, this project undoubtedly gives a great deal of knowledge about robotic-assisted surgery and the future of healthcare, which is what we desired through our research and analysis.

Finally, we ended the report by explaining how AI informatics is carried out with the case study of using AI informatics in predicting readmission of heart failure patients. The concept is explained in a detailed manner and highlights the golden future of AI in healthcare. With this project, we helped in understanding the concept of robotic surgery and the AI tool in shaping the future of healthcare at a deeper and clearer level.

The second part of the project describes the field of healthcare informatics and how healthcare is getting into automation. It explains the concept of AI in healthcare and the future of AI in shaping the healthcare sector. We highlighted the various advantages of AI in healthcare and explained the concept of the AI tool ‘IBM Watson’ with an example.

This project helped in bringing forth the detailed study and analysis about robotic surgery and the future of healthcare. The first part of the report revolves around the detailed study and advantages of robotic surgery over laparoscopy and open surgeries. It explains how robotic surgery has advanced over the years and highlights the various advantages and specifications of the same.