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Motion tracking app using GRU to send motivation tasks as notifications to keep the User Healthy

Shell 0.09% JavaScript 0.13% Python 95.80% C 0.62% Emacs Lisp 0.08% PowerShell 0.07% CSS 0.75% TeX 0.06% HTML 0.23% GLSL 0.01% Batchfile 0.01% Cython 1.50% Vim Script 0.02% kvlang 0.66%

ai_enabled_health_app_8joa's Introduction

AI enabled Health Application

What:

This mobile application tracks and predicts current Human motion
(sitting, walking, running) using pre-trained GRU Neural Network 
by having access to both accelerometer and gyrometer of the device.

If the user stays in a single position for above a certain time (decided by the user)
a motivation task pops up as a Notification on the device.

User enters its data into user profile settings, and this data is stored into the
users.db database using SQL query. 

Since data privacy is important, users.db file is encrypted using Fernet Encryption.

Motivation task is customised based on combination of the user data profile 
and its movement profile. Motivation Task is stored in a different database.

How:

Back end is built using Python and Front end is built using Kivy.

Database management is done using SQLite3

Encryption is done using Fernet Encryption (symmetric key)

Python's Plyer library is used to gain access of phone's sensors.

Platform:

1. Android
2. Ios

ai_enabled_health_app_8joa's People

Contributors

milind-cod3-base avatar trellixvulnteam avatar

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