Login

AI FEM-WEAR

  • Aarushi Pandohi, Priyanshi Chauhan, Neha Chauhan
  • Today, in the current global scenario , we hear the news of women harassment , rape cases , eve teasing etc. more often rather than women achievements.Emergency systems in India are all decentralized and disorganized. Each city has different numbers for different services, but it's going to take a while for the government to get a central system up and running.These systems come into action after the damage is done that's why there is a need of devices that gives us prior warning about the areas they are travelling so that the unfortunate events can be averted and provide real-time help.

  • Rashmi is 25 year old working women who works on a client-based project and has to travel daily on various client locations.

    Alisha is 14 year old school going girl who goes to school as well as coaching.

    Sangita is a 55 year old women who is part of NGO and has to travel different locations for workshops.

  • https://drive.google.com/open?id=1TZwF8psVqHdxOA7WXzrig1HXebh4fHS9

  • For the above mentioned problem statement we have proposed an artificially intelligent wearable device that will take different inputs such as sensing the heartbeat of person which will be high at the moment by secretion of epinephrine hormone from HPA axis and other factors like sweating, shortness of breath, trembling and shaking etc. will be analysed by their respective sensors. If these factors cross a certain threshold value then this device will forward the women's location through GPS tracking system to nearby police stations and parents.
    Also, this device will send a notification to women before she is travelling to certain locations which are considered to be vulnerable and these predictions will be done by analyzing the data sets based on crimes in India through Machine Learning.

    Image link:

    https://drive.google.com/open?id=1vEA1pOEot_BdR96bycYhmguiEP19nvkX

October 20, 2019

0 responses on "AI FEM-WEAR"

Leave a Message

Your email address will not be published.

top

Knowledge and Content by Li2 Technologies | © 2021 NASSCOM Foundation | All rights reserved

X