FLOKI Studio

FLOKI Studio

nader rahman

nader rahman

Ariana,

user-friendly interface for children to enhance their potential

Internet of Things, Modern Code

  • 2 Collaborators

  • 2 Followers

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Description

Folki IDE will provide a user-friendly interface for children to enhance their potential . In this interface we will find a lot of scenarios , in which the user will face daily real problems , and learn to solve them using the IOT . With this scenarios , he will be able to build his own IOT solution , learn repeat loops , conditionals , basic algorithms , manipulate the sensors with different actions. Mainly , Students drag and connect the ‘Blocks’ which are basically pre-programmed pieces of code. Once you think you’ve planned out the program , connect the board and sensors correctly; you press ‘Run’, and the board will execute your program.

The great thing about Folki IDE is that it’s largely self-directed. Teachers and parents can organize and plan the events in school, with only a small amount of prep for teachers, e.g. choosing the Tutorials. But once the kids have been brought together in the classroom, they (and the tutorials) do the rest.

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muthu s. updated status

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muthu samy

Working on Trident Techno Minds Business & Emerging Markets Pre-Planning and delivery team for block chain , Internet of things ,Big Data services, strategy engagements with our existing and new customers in Big Data space.

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Jefferson F. created project Simulation and Predictions in the Decision Making of Conditional Maintenance in Equipment of the Mining Industry

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Simulation and Predictions in the Decision Making of Conditional Maintenance in Equipment of the Mining Industry

Oi, gente :)

Hi, my name is Jefferson Felipe Azevedo, I am from Maraba, in Brazil. I am currently using Machine Learning and Data Science to create a program capable of predicting the unsteady condition of a particular machine. As a parameter, I'm using the time data of Vale's off-road trucks. But I believe that the program works for any machine since some parameters are modified in the code.

-Currently the focus is to solve the large amount of expenses with unnecessary maintenance.

-Me and my project partner, Jadson da Cruz, have already made a forecast until 2019 and the mathematical model used in the code converged with reality.

-We are using the latest stable version of Python - 3.6.3

We are very happy with the results and what we can do. Any questions or concerns can speak directly to me. Hugs, guys

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Srivignessh P. created project Cart Pole AI Game Controller.

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Cart Pole AI Game Controller.

Cart Pole Balancing Problem is one of the standard classical control problem. Building an AI Reinforcement learning agent to balance the pole connected with one joint on top of the moving cart is a challenging problem. This live demo showcases the working of the adaptive actor critic game controller. It has applications in designing future AI game controllers.

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Vinícius B. created project MySleep: A Sleep Monitoring Application

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MySleep: A Sleep Monitoring Application

Sleep is a physical and mental state that plays an important role in the maintenance of health and well-being. It is responsible, for example, for the functions of memory consolidation and metabolism regulation, which, when absent, can have mental consequences and severe physiological disorders, called sleep disorders. These disorders are syndromes that affect normal sleep, negatively affecting health, as in the case of Obstructive Sleep Apnea Hypopnea Syndrome (OSAHS), which is related to the momentary stopping of breathing at night.

Snoring is one of the main indicators of the presence of sleep disorders related to respiratory causes. By means of the detection and analysis of these indicators we can extract characteristics that allow the identification of respiratory disorders, which constitutes a possibility of previous detection of these, accelerating the diagnosis and access to treatment.

The goal of this research project is to develop a mobile application for monitoring the user's night of sleep in order to aid in the diagnosis and treatment of sleep disorders. The application called MySleep performs the recording and transmission of audio captured at night to a server responsible for analyzing this signal and extracting respiratory events from snoring and OSAHS in order to estimate the rate of apnea-hypopnea.

The captured audio signal is being analyzed through digital signal processing, artifical intelligence and machine learning techniques. A first version of the Android application is now available for testing, with audio recording and streaming features, and has guidance screens for signal capture and user instruction on care to be taken before recording starts. The next steps will be to extract and display quality metrics and sleep disturbances visually within the application and make sleep metrics available to hospitals and other interested parties through a web portal for follow-up and clinical decision support.

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