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A solution that helps female-identifying and non-binary individuals to come together and discuss various topics relating to their lives. There are many social audio room apps available on app stores, however, they are overcrowded, unsafe, and not exclusively for the community. The idea was to create a safe and exclusive platform for participants.
The backend services were built on the AWS platform. We used a serverless solution using AWS Amplify and Cloud Functions.
AWS Amplify was used to connect the mobile app with AWS services such as Cognito and DynamoDB via GraphQL queries. This gives the mobile client more control to dynamically decide on the set of data to request from the backend.
Cognito is used to manage user information. Cognito has in-built support for user authentication, user verification via OTPs, and user management features.
We used AWS Lambda to build cloud functions for custom tasks such as updating the database or scheduling jobs. Lambdas were preferred as they use resources only when required, compared to EC2 instances that use resources all the time.
A solution that helps female-identifying and non-binary individuals to come together and discuss various topics relating to their lives. There are many social audio room apps available on app stores, however, they are overcrowded, unsafe, and not exclusively for the community. The idea was to create a safe and exclusive platform for participants.
The backend services were built on the AWS platform. We used a serverless solution using AWS Amplify and Cloud Functions.
AWS Amplify was used to connect the mobile app with AWS services such as Cognito and DynamoDB via GraphQL queries. This gives the mobile client more control to dynamically decide on the set of data to request from the backend.
Cognito is used to manage user information. Cognito has in-built support for user authentication, user verification via OTPs, and user management features.
We used AWS Lambda to build cloud functions for custom tasks such as updating the database or scheduling jobs. Lambdas were preferred as they use resources only when required, compared to EC2 instances that use resources all the time.