`Safely`

Safely helps women to navigate routes in a safe manner by providing three main features:

Safe routes
Safety Timer alert
SOS alerts to near ones

Allows users to mark a place as Unsafe, and displays safer routes, with timer alerts for emergency

How it Works

We use CROWSOURCED Reviews of people marking a place as unsafe and GeoJSON Data of Cities which inform about the shops, restaurants etc that are open along the route between source to destination

Based on this parameters, we render two or three safest routes possible among multiple routes such that the unsafe zones are avoided and active zones are included

Getting Started

Prerequisites

Django Framework
MongoDB Cloud Storage

API Integrations

Setup project environment with virtualenv and pip.

$ virtualenv venv
$ venv/scripts/activate
$ pip install -r https://github.com/amisha-w/dotSafely/blob/master/requirements.txt


$ cd projectname/
$ python manage.py migrate
$ python manage.py runserver

Database Setup

Create Mongo Collections for:

CrowdSourcing Data
GeoJSON Data of Cities
User Information

Built With

Django
HEREMaps - The MAPs API
LeafletJS

Future Enhancements

[ ] Include Live Traffic Data as a parameter for safety metric
[ ] The data can be passed to civil authorities that can make use of it and improvise the safety conditions of the marked places