Software Alternatives, Accelerators & Startups

Zeetings VS Apple Core ML

Compare Zeetings VS Apple Core ML and see what are their differences

Zeetings logo Zeetings

Turn your presentations into interactive conversations

Apple Core ML logo Apple Core ML

Integrate a broad variety of ML model types into your app
  • Zeetings Landing page
    Landing page //
    2023-07-17
  • Apple Core ML Landing page
    Landing page //
    2023-06-13

Zeetings videos

Zeetings

More videos:

  • Review - Using Zeetings Online Presentation Tool

Apple Core ML videos

IBM Watson & Apple Core ML Collaboration - What it means for app development

Category Popularity

0-100% (relative to Zeetings and Apple Core ML)
Presentations
100 100%
0% 0
Developer Tools
0 0%
100% 100
Communication
100 100%
0% 0
AI
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Zeetings and Apple Core ML

Zeetings Reviews

Real-time Audience Polling: 13 Best Tools to Use During a Presentation
Zeetings gives data driven insights while tracking every interaction so that you know what’s going on. This program is secure since it keeps tracking people who have access and can be accessed from all your devices. You will also be able to modify your content after it has been shared.

Apple Core ML Reviews

We have no reviews of Apple Core ML yet.
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Social recommendations and mentions

Based on our record, Apple Core ML seems to be more popular. It has been mentiond 7 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Zeetings mentions (0)

We have not tracked any mentions of Zeetings yet. Tracking of Zeetings recommendations started around Mar 2021.

Apple Core ML mentions (7)

  • Ask HN: Where is Apple? They seem to be left out of the AI race?
    On the machine learning side of AI, they have CoreML. You can drag-and-drop images into Xcode to train an image classifier. And run the models on device, so if solar flares destroy the cell phone network and terrorists bomb all the data centers, your phone could still tell you if it's a hot dog or not. https://developer.apple.com/machine-learning/ https://developer.apple.com/machine-learning/core-ml/... - Source: Hacker News / 4 months ago
  • The Magnitude of the AI Bubble
    Apple has actually created ML chipsets, so AI can be executed natively, on-device. https://developer.apple.com/machine-learning/. - Source: Hacker News / 5 months ago
  • Does anyone else suspect that the official iOS ChatGPT app might be conducting some local inference / edge-computing? [Discussion]
    For your reference, Apple's pages for Machine Learning for Developers and for their research. The Apple Neural Engine was custom designed to work better with their proprietary machine learning programs -- and they've been opening up access to developers by extending support / compatibility for TensorFlow and PyTorch. They've also got CoreML, CreateML, and various APIs they are making to allow more use of their... Source: about 1 year ago
  • Apple to occupy 90% of TSMC 3nm capacity in 2023
    > It’d be one thing if Apple actually worked on AI softwares a bit and made it readily available to developers. * Apple Silicon CPUs have a Neural Engine specifically made for fast ML-inference * Apple supports PyTorch (https://developer.apple.com/metal/pytorch/) * Apple has its own easily accessible machine-learning framework called Core-ML (https://developer.apple.com/machine-learning/) So it would be inaccurate... - Source: Hacker News / about 1 year ago
  • The iPhone 13 is a pitch-perfect iPhone 12S
    This is the developer documentation where they advertise the APIs - https://developer.apple.com/machine-learning/. Source: almost 3 years ago
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What are some alternatives?

When comparing Zeetings and Apple Core ML, you can also consider the following products

Clikapad - ppvote software portfolio is a PowerPoint add-in that has been specifically designed to be used with CLiKAPAD audience response system hardware.

Amazon Machine Learning - Machine learning made easy for developers of any skill level

Monterosa - Monterosa is an audience engagement platform that allows you to manage a large audience and conduct the poll in real-time.

TensorFlow Lite - Low-latency inference of on-device ML models

Imaginators - Create interactive presentations

Roboflow Universe - You no longer need to collect and label images or train a ML model to add computer vision to your project.