Synapse AI

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  Designed Framework - Working of Synapse AI

Synapse AI

Synapse AI system, app provides a low cost, faster & more efficient access to Telemedicine using real time data streams. This high intensity AI enabled framework analyzes the smartphone embedded sensors' signal measurements to predict the grade of severity of the disease based on symptoms monitored, evaluated by built-in sensor measurements. These high performance, computation-rich sensors include powerful processors, cameras, microphone, inertial sensors (Accelerometer, Gyroscope, Magnetometer), temperature sensors, finger-print sensors/chipsets. This automated detection AI platform screens users for a diverse range of diseases using smart, complex automated methods such as support vector machines (supervised complex models for classification and regression analysis), k-NN Classifiers (pattern recognition), Deep Neural Networks, Decision Trees (Conditional Control Statements), CNN (Convolutional Neural Networks) & RNN (Recurrent Neural Networks) compiled with a compound set of open-source datasets. Our framework operates on all these aforementioned sensors and algorithms integrated into a solitary solution, followed by achieving the predicted level results of symptoms at an accuracy rate of 96.8% from the applied Machine Learning Algorithms and storing them in the form of cloud datasets.

Tested Accuracy Level of Synapse AI Model = 96.8% (Obtained using multiple open source and Institutional datasets)

Built With

• c
• c++
• css
• html
• javascript
• matlab
• python
• shell