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Hospitable

Statistics📈:

  • Over a 1 Billion people live with some form of disability.
  • 32% of adults with disability experience high/very high psychological distress.
  • Depression in persons with physical disabilities may be more common than in the general population.
  • In India out of the 121 Cr population, 2.68 Cr persons are disabled which is 2.21% of the total population.

Objective:notebook::

Our objective is to assist people with visual, auditory and vocal disabilites to efficiently navigate and communicate without requiring external assistance.

The problem we are aiming to solve:thinking::

We are aiming to solve the problems faced by people with disabilities who require continuous assistance. We aim to make them self dependent in external environment. Also every disabled person isn't of means and not everyone can afford to hire a personal attendant.

Novelty of our project:sparkles::

We aim to use sign-language detection features, speech to text, Door detection, image processing, etc to facilitate our project and allow the users to efficiently navigate and interact in their respective situation

Tech Stack:man_technologist::

Django, OpenCV, Tensorflow, JavaScript, Bootstrap.

Implementation:

We are planning to implement our project on website/app which will include all our features to be used accordingly by the user with relation to a particular disability.

  • Tensorflow and OpenCV for sign-language detection using webcam.
  • JavaScript for Speech to text we would use .
  • Django in backend for user authorization.

Future Scope:construction::

  • can be extended from hospitals to offices and other external environments.
  • can be used for recognition of patterns according to user's medical record.

Business Model:

We plan to use our product in collaboration with hospitals, clinics, and other institutions.

Developed by:office_worker::

image image

How to run

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