AI/ML for Mistake Identification in Corporate Presentations

In today's fast-paced business environment, impactful and error-free corporate presentations are crucial for conveying information, securing deals, and maintaining brand consistency. However, manually reviewing presentations for mistakes can be time-consuming and prone to oversights. Fortunately, Artificial Intelligence (AI) and Machine Learning (ML) technologies are transforming how companies approach content review, offering automated solutions for identifying errors in presentations. This article explores how AI/ML models are used for mistake identification in corporate presentations, highlighting their benefits, error detection capabilities, and the future of content review.

The Importance of Error-Free Presentations

Corporate presentations serve various purposes, from internal training to client pitches.

Any presentation prepared by an employee, whether to Present it to a client or for internal purpose, it should adhere with company's standards. It's is difficult for the reviewers to check every presentation and ensure that it is up to the company standards. A single error can undermine the presenter's credibility and the company's image. A well-structured, visually appealing, and error-free presentation can significantly enhance the audience's understanding and engagement. This is where AI/ML steps in, providing tools to ensure presentations meet high standards of accuracy and professionalism.

The role of content reviewers: Traditionally, content reviewers manually check presentations for errors. Content team can use this to cross-check a presentation for Miracle standards. This application will reduce the time and manual effort for the content team. However, this process is prone to human error and can be time-consuming, especially for large organizations with numerous presentations. AI/ML-based applications streamline this process, offering automated detection of errors and inconsistencies.

AI/ML: Automating the Content Review Process

AI/ML technologies offer a way to automate content review, making it faster, more efficient, and more accurate. By training models on vast datasets of presentations and company guidelines, AI can learn to identify common errors that human reviewers might miss. The AI/ML based python application which will check the presentation on commonly identified error cases. This approach reduces the burden on content teams and ensures that all presentations adhere to company standards. The main purpose of our application is to identify possible errors in a presentation and show it to the content team on a UI. It also allows for real-time feedback and continuous improvement of content quality.

Customer Logo Detection: Protecting Brand Integrity

Many organizations have strict policies regarding the use of customer logos in presentations. It is the company's policy to not disclose any customer names out to the public. The content team may not be aware of all the customers of the organization.

Our AI/ML application can be trained to identify unauthorized customer logos and ensure they are removed before a presentation is delivered. This is a big deal because not every reviewer in a company knows all of their customer's logos.

This feature helps maintain confidentiality and avoids potential legal or ethical issues. The application should be able to find them out and show it to the reviewer. The application should also be able to tell in which slide the customer logo is included in.

Text Overlap Detection: Ensuring Readability and Professionalism

Text overlap can occur due to formatting issues or when content is added or modified without proper adjustment. Text Overlap Detection, Sometimes there may be some text overlapping or some text overlapping over the header or footer. This basically happens when an employee uses different tool for creation of the presentations and the content reviewer or the formater opens the presentation in the Microsoft PowerPoint. A common error occurs when text overlaps with headers, footers, or other design elements, making the presentation look unprofessional and hard to read. Our AI/ML application can detect such overlaps, ensuring that all text is legible and properly formatted.

This condition to check out if there are any text overlapping detections.

Title Check: Adhering to Formatting Guidelines

Companies often have specific guidelines for presentation titles, such as length and formatting style. At Miracle we follow standard where a title for a presentation should be of two lines, not more or not less. Our AI/ML application can automatically check if titles adhere to these guidelines, ensuring consistency across all presentations.

The content reviewer does not need to format the presentation to follow company norms; the AI/ML application will Take Care of it. This automated check helps maintain a uniform brand image and enhances professionalism.

Non-Miracle Standard Color

Companies usually use a very particular shade of color for all of their presentation products. There are standard colors for Miracle that we use everywhere, like across the websites, documents, presentations, graphics, etc. In case an employee uses a non-Miracle standard colors, that would be compared to the Miracle standard colors and the module will find out if it is a non-Miracle standard color or not and gives out the RGB color code of the non-Miracle standard color and also tells us in which slide it is included in. This keeps the colors the same across all presentations.

White Space Detection

Usually many people leave out the slides half filled or almost empty with very less content. White Space Detection won't look for an ideal presentation. For this reason, we have added this module to check out if there is more white space.

So with this being more than 70%, the content is easy to view and ready for presentation.

Spell Check

This module checks out all the words in the presentation and checks if the spelling of a particular WORD is written correctly or not according to the English dictionary. This can help users identify any misspellings so they can correct them.

Spell Check flags it to be wrong spelling and also suggest the appropriate spellings for a word.

Punctuation Check

Some commonly made punctuation mistakes like giving double space between the words or not giving space after a comma, etc. we have consolidated all these mistakes and build the module in such a way that if there is any violation in the punctuation rules, it should be shown to the reviewer.

Step-by-Step Guide

1. Upload the presentation: The user uploads the presentation file to the dashboard.
2. PDF Conversion: The presentation is converted to PDF format for further processing.
3. Extract Images from PPT: Images and text are extracted from the presentation.
4. Convert as Images: Each slide is converted into an image for processing.
5. Text overlap condition: It’s tested in this condition
6. Title Check: This runs a title check, using images, to see if the title for a presentation is within the allotted two lines.
7. Color Extraction: It runs a color extraction, using images, to determine whether the correct colors are being used.
8. Identify Customer logos: In Identify Customers, Keras has to successfully detect customer logos
9. Spell Check: Does a Spell check using text.
10. Punctuation Check: Punctuation is then checked with text.
11. Results: All the results are then reported in the dashboard.

Contact Miracle Software Systems

For specific pricing details, it is recommended to contact Miracle Software Systems directly through their website. They can provide you with a tailored quote based on your organization's requirements and the scope of implementation. As prices can vary, it is important to get a tailored quotation from Miracle Software Systems. This will ensure that you have the most current information regarding the costs associated with implementing and using the AI/ML presentation review tool.

Mistake Identification Features

• Customer Logo Detection: Ensures no unauthorized customer logos are present.
• Text Overlap Detection: Identifies and flags text overlaps with headers, footers, or other elements.
• Title Check: Verifies that titles adhere to prescribed length and formatting rules.
• Spell Check: Checks for mis-spelled words and provides suggestions for all the mis-spelled words
• Punctuation Check: Check common punctuation rules for the content written in the presentation
• Color Detection::Identify all the colors in the presentation and check them against the Miracle’s standard color palette
• White Space Detection: Identify white spaces (not covered with text or images) and check the percentage of it against the slide color composition

This tool could have different Use Cases:

Here are some Use Cases to use in the software:

• Standard color check
• Punctuation Mistakes
• Customer logo Mistakes