Teachable Machine

Checkout Teachable Machine – Recognize and categorize visual and auditory inputs using machine learning algorithms.

Teachable Machine is a user-friendly platform that simplifies the process of building machine learning models by providing an intuitive interface for creating customized models without requiring any coding knowledge. With its ability to work with various file formats and live data capture, users can easily classify images, audio, and export their creations for integration into websites and applications.

• Product Category: Motion Capture
• Product Pricing Model: Free

• Data Scientist
• Machine Learning Engineer
• AI Researcher
• Software Developer
• Business Analyst

For Data Scientist

• Image Classification: As a Data Scientist, one should use Teachable Machine to quickly create an image classification model for a client who wants to classify images of their products on their e-commerce website to improve the user experience by automatically categorizing them into relevant categories.
• Speech Recognition: one should use Teachable Machine to develop a speech recognition model for a client who wants to transcribe audio recordings and convert them into text for better search functionality.
• Object Detection: one should use Teachable Machine to detect objects in images for a client who wants to track inventory or monitor production processes.
• Sentiment Analysis: one should use Teachable Machine to analyze customer feedback and improve product development by understanding customer sentiment.
• Facial Recognition: one should use Teachable Machine to develop a facial recognition model for security purposes in a client’s business.

For Machine Learning Engineer

• Image Classification: As a Machine Learning Engineer, one should use Teachable Machine to quickly create an image classification model that can identify different types of fruits, such as apples, bananas, oranges, and grapes, for a grocery store application to help customers easily find the products they are looking for.
• Speech Recognition: one should use Teachable Machine to develop a speech recognition system that can understand and respond to customer orders in a restaurant, allowing them to order food items by voice.
• Object Detection: one should use Teachable Machine to detect objects in real-time video feeds from security cameras for surveillance purposes.
• Sentiment Analysis: one should use Teachable Machine to analyze customer feedback and reviews of products or services to improve customer experience.
• Text Classification: one should use Teachable Machine to classify emails as spam or not spam, to help manage email inbox more efficiently.

For AI Researcher

• Image Classification: As an AI researcher, one should use Teachable Machine to quickly create a model for image classification ofdical images such as X-rays or MRI scans to help diagnose diseases.
• Speech Recognition: one should use Teachable Machine to develop a model for speech recognition in noisy environments, such as recognizing spoken words in a crowded room.
• Object Detection: one should use Teachable Machine to detect objects in real-time video feeds from security cameras for surveillance purposes.
• Sentiment Analysis: one should use Teachable Machine to analyze customer feedback and improve customer service by understanding their emotions.
• Text Classification: one should use Teachable Machine to classify text data such as emails or social media posts for spam filtering or sentiment analysis.

For Software Developer

• Image Classification: As a software developer, one should use Teachable Machine to quickly create an image classification model that could identify different types of fruits in an e-commerce website to improve product categorization and make it easier for customers to find what they are looking for.
• Speech Recognition: one should use Teachable Machine to develop a speech recognition system for a virtual assistant that can understand voice commands and respond accordingly.
• Sentiment Analysis: one should use Teachable Machine to analyze customer reviews and feedback to improve product recommendations and customer satisfaction.
• Object Detection: one should use Teachable Machine to detect objects in real-time video feeds for security purposes, such as detecting intruders or identifying lost items.
• Handwriting Recognition: one should use Teachable Machine to recognize handwritten text on receipts or invoices to automate data entry and improve efficiency.