- 16 - Peace, Justice, and Strong Institutions
- 10 - Reduced Inequalities
- Integrates real-time data to assess route safety using machine learning algorithms.
- Provides a user-friendly interface for inputting route preferences and receiving instant safety assessments.
- Displays color-coded risk factors on a map interface for clear insights.
- Enables users to contribute to model accuracy through reviews and feedback.
- Features a community forum for emergency assistance, connecting users with nearby community members.
- Join us in revolutionizing safety assessment and route planning for safer communities.
- Clone the repo:
git clone https://github.com/kpriyanshu2003/crowd-management.git - Create a Firebase project and get the Firebase config
- Generate a
serviceAccount.jsonfile from the Firebase project and place it in the model folder - Create a Mapbox account and get the Mapbox token
- Create a
.envfile for each folder ( client, server, model ) in the format as shown in the.env.examplefile - Install Dependencies ( client and server ):
yarn install - Run
yarn postinstallto install the Prisma client - Create a new virtual environment ( python 3.10 ) and activate it
- Install the Python dependencies :
pip install -r requirements.txt - Use the
starter.batin Windows orstarter.shin Linux to start the client, server, and model
In Progress
- Install Prisma CLI :
npm install -g prisma - Create a new migration:
prisma migrate dev --name mirgration_name --schema ./src/prisma/schema.prisma - Apply the migration:
prisma migrate deploy - Generate the Prisma Client:
prisma generate --schema ./src/prisma/schema.prisma - Reset the database:
prisma migrate reset