ai presentation maker

ai presentation maker

How to Create an AI Presentation Maker

1. Introduction

In the recent time, there has been a growing trend of AI technology being used in diverse fields for automation. This is due to machine learning and AI being the current hot topic in the technology world. In light of this, the project proposed is an AI presentation maker. The goal of it is to reduce the time and effort to make a PowerPoint presentation. This could be especially useful for students who need to make a presentation as they mostly make simple presentations. AI presentation maker allows users to generate a slide deck by simply selecting the topic of the presentation. The content of the slides will be generated from using information from the internet. The layout of the slides will be automatically set and users can customize it according to his/her preference. There are several objectives that we wish to achieve for this project. Firstly, speech recognition and Natural Language Processing (NLP) will be used in the control of the flow of the application. This is mainly to provide an alternative to typing to create the slides. Users can dictate on what each slide should contain and NLP will interpret the user’s input and turns it into an object that the machine can understand and act upon it. Following is to make full use of machine learning in content suggestion. This is the main point of focus for the AI technology. Users will only need to input the topic of the presentation and the rest will be done by the machine. Machine will get the context of the topic from the internet and decides on the best possible content for the slides. This greatly reduces the time and effort spent on topic which serves as one of the unique points of this AI presentation maker. Last but not least is to implement image recognition and slide preference learning. These two will be used for slide layout customization. Image recognition will be detecting the content of the slide and automatic design of the slide layout according to it. Users can still change the layout by his/her preference and the slide preference learning will record down the choices made by the user and tries to automatically set the layout in the same way for future use.

2. Understanding AI Presentation Maker

Explanation: Creating AI for presentation is not new. AI has become a part of technology, usually making our tasks easier in doing specific work. Creating AI for presentation is used to aid people in creating slide presentations. This is very useful for students who are creating project presentations. Globalization has pushed many people to use AI for presentation because it is easier and quicker. With AI, we don’t need to think about designing; we just set the content and let the AI do the rest. However, many AI presentation makers focus only on designing and forget about the content of the presentation itself. The result is a presentation with great design but poor content that does not deliver what the audience wants to know. In this project, we will try to make an AI that doesn’t just focus on design, but also on the content itself. With the method of extracting and summarizing, this method will aid people in creating presentation slides just with the keywords we want to add to the slide.

3. Key Features and Benefits

Customization of generated slides: When an AI or template system is used to automatically generate a slide, it’s usually far from what is actually desired. Humans tend to allocate less memory to understanding visual presentation than other forms of communication. This often means that even a detailed list of instructions will still yield a suboptimal slide. An AI with the ability to understand spoken or written natural language dialogue is more capable of extracting the desired slide from the user’s mind. This could be the difference between a novice user deciding the system is too hard to use and an expert user creating top-quality slides with little effort. Overall, the AI should have some understanding of user preference and habits. A key part of this is learning. After some use, it should be possible that the system starts to predict what the user desires in a slide before explicitly told.

Sketching slides on paper: If dialogue with the AI is going to be the primary method of constructing a slide, it would still be beneficial to allow the option of sketching rough drafts on paper. Traditional methods of slide creation often start with an idea being drawn or written in some physical form before getting translated to the digital. An AI with the ability to understand and expand upon a sketch could be quite versatile. This could also apply to tablets, but functionality on paper is likely a cheaper implementation.

Reduction in time to create slides: The users of this system would primarily be looking for a much more efficient way to create presentation slides. Traditional methods of slide creation from scratch in PowerPoint, Keynote, etc. are simply too time-consuming, disappearing barriers that other workflows will take a much easier way or go back to old methods. Given the right input, the AI should construct the slide in a matter of seconds. This leaves more time to actually rehearse the presentation and nail down speaking points.

4. Steps to Create an AI Presentation

The third step will be assigning labels to the data. This will make the learning easy because the AI system will learn from the data and apply the same on generating slides for presentation. Learning from the data and applying the same is possible only if there is supervised learning involved, and for that, there should be some output to which the system will compare if the same thing is generated by the system. So, here labeling of data is a time-consuming task as it will require a lot of human involvement to label huge data. But it is a one-time task only.

The second step will be data preprocessing. After collection, we have to preprocess the data and arrange it in a form such that it becomes easy while learning.

First and foremost step of any AI system will include data collection. So here, this system will be needing data for the types of presentation because AI system is designed to have intelligence like humans and to perform some intelligent tasks. So, to make the presentation just like humans, it will have to know how the presentation is created, what to add on a slide, what type of transitional effects or animation it should include. For that, we have to provide different examples of presentations where people have used different styles of making the presentation. So, this will require huge data containing different presentations. And then different styles and methods of making the presentation, making a huge collection of slides, images, clip arts, etc.

While developing an AI system, these are the simple steps to create an AI presentation maker from scratch.

5. Conclusion

– Optimizing search methods for generating the concept of a lecture more optimal: Search method is currently still using information retrieval by comparing sentences of documents one another. It has not been done analysis whether a sentence in a document relevant to the material presented or not. So there needs to be a mapping method of the concept of material lectures with teaching materials find a sentence that has a concept relevant to the material presented.

– Adding a feature to make a lecture presentation materials be better: With features authoring automatically expected an instructor or lecture material creator can more easily create a lecture and get the educational materials are better than the data the author has the input through this system.

As for the future studies, we have the framework of the system is expected to be able to develop even further to the things that are not desirable. There are several things that will be developed where the author provides several things that can be a reference to add or develop software, as follows:

Remember that the position of this study in the engineering proposition is that development should be able to understand the theoretical basis of some empirical knowledge on how to create a program to solve the problem or give Q to the group people better than a solution that exists at this time. By doing so, it is expected that it may know when the right time to use the method or concept in solving a problem. On the basis of understanding the pattern of problem solving, system or computer program can evolve and bring something new, better, and more effective than the existing solutions [14].