


SmartAqua
A Tool for Behaviour Modelling and Activity Tracking of Fishes
BeMAcT is an educational tool created to track the trajectory and behavior of fish over time. We created this tool as a means of introducing students, professionals, and non-professionals to the basics of AI via Computer Vision and Machine Learning. BeMAcT is also a great observational tool to understanding STEM concepts such as Biology, Chemistry, and Physics.
- Tool to learn AI Concepts in Computer Vision and Machine Learning.
BeMAct provides a hands-on experience and an introduction to concepts of Computer Vision by stripping the concept to its bare minimum components. We take out the complexities and jargon a traditional course would teach, allowing students to internalize these concepts without needing to deal with any algorithm-heavy explanations.
- Tool to teach STEM Subjects
By examining fishes, we can also utilize BeMAcT to analyze the STEM concepts at play. For example, do fish sleep? Which fish swims the fastest? At what time? How is the acidity of the environment? How much influence does light have? All of these are observable concepts that can provide a space for students to make a prediction, experiment, analyze results, and draw a conclusion.


SmartHome
Our SmartHome Assistant enables the latest AI technologies to make your personal life a more pleasant experience. Typically, these assistants are designed to use voice for smart home devices (IoT). We make use of Speech recognition, natural language processing (NLP), and other machine learning technologies so that homeowners can control their home devices on voice command.


SmartRetail
There are numerous opportunities for retailers to improve their user experience and business operations by using AI technologies such as object tracking, speech recognition and machine learning. Smart retail can perform a variety of automated functions, such as real-time inventory count for both you and your customers, tracking the movement of items in sales areas, and an in-depth analysis of customer shopping behaviors.
