AuraHire transforms your job search with Google AI-powered tools that organize applications, optimize resumes, and predict interview success. Perfect for contributors looking to work on modern AI-integrated web development.

4 Open Issues Need Help Last updated: Jul 29, 2025

Open Issues Need Help

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Web Dockerization 2 months ago
good first issue gssoc25 docker web level 2 medium

AuraHire transforms your job search with Google AI-powered tools that organize applications, optimize resumes, and predict interview success. Perfect for contributors looking to work on modern AI-integrated web development.

TypeScript

AI Summary: Containerize the Express.js backend API for the AuraHire job search application using Docker, ensuring it connects to a MongoDB container, handles signals gracefully, and includes a health check endpoint. This involves creating a Dockerfile, updating the docker-compose.yml file, and implementing robust connection retry logic.

Complexity: 3/5
enhancement good first issue gssoc25 docker level 2 medium

AuraHire transforms your job search with Google AI-powered tools that organize applications, optimize resumes, and predict interview success. Perfect for contributors looking to work on modern AI-integrated web development.

TypeScript

AI Summary: The task involves setting up a persistent MongoDB database within a Docker Compose environment for the AuraHire project. This includes adding a MongoDB service to the `docker-compose.yml` file, configuring a persistent volume for data persistence across container restarts, creating an initialization script for the database schema, updating the API service to connect to the MongoDB instance, and documenting the data persistence setup. The goal is to ensure the database is accessible from the host machine and that initial user/database setup is automated.

Complexity: 4/5
documentation good first issue gssoc25 docker level 2 medium

AuraHire transforms your job search with Google AI-powered tools that organize applications, optimize resumes, and predict interview success. Perfect for contributors looking to work on modern AI-integrated web development.

TypeScript

AI Summary: This task requires building the frontend and backend functionality for managing job applications within the AuraHire platform. The frontend will involve creating forms for creating, reading, updating, and deleting applications, incorporating validation and handling various UI states. The backend will involve creating corresponding API endpoints to handle these actions. The entire system needs to be mobile-friendly.

Complexity: 4/5
enhancement good first issue gssoc25 web level 2 medium

AuraHire transforms your job search with Google AI-powered tools that organize applications, optimize resumes, and predict interview success. Perfect for contributors looking to work on modern AI-integrated web development.

TypeScript