AI Resume Insights

An AI-driven resume feedback system built using Langchain and the Gemini API, with a Django backend framework and a Next.js/TypeScript frontend.

The project consists of two main components: the backend (Django) and the frontend (Next.js).

Development Setup

Backend Setup

Environment Variables

Create a .env.dev file in the backend directory with the following content:

DEBUG=1
SECRET_KEY=ai_resume_insights
DJANGO_ALLOWED_HOSTS=localhost 127.0.0.1 [::1]
SQL_ENGINE=django.db.backends.postgresql
SQL_DATABASE=airesumeinsights
SQL_USER=postgresuser
SQL_PASSWORD=postgrespassword
SQL_HOST=airesume_db
SQL_PORT=5432
DATABASE=postgres
GOOGLE_API_KEY=your_google_api_key
GOOGLE_CLIENT_ID=your_google_client_id
GOOGLE_CLIENT_SECRET=your_google_client_secret

Replace your_google_api_key, your_google_client_id and your_google_client_secret with your credentials. Ensure these align with the settings in the Docker Compose YAML file.

Running the Backend

Use Docker to build and run the backend:

sudo docker compose up --build

To stop the application:

sudo docker-compose down

Frontend Setup

Environment Variables

Create a .env.local file in the frontend directory with the following content:

NEXT_PUBLIC_API_HOST=http://localhost:8001

Installing Dependencies

Run the following command in the frontend directory to install dependencies:

npm install

Running the Frontend

Start the development server:

npm run dev

Additional Notes

• Ensure that Docker and Node.js are installed on your system.
• The backend will be available at http://localhost:8001 and the frontend at http://localhost:3000 by default.
• Update environment variables as necessary for your deployment.

---

Frontend

npm i

npm run dev

Backend

To run : sudo docker compose up --build

To create new apps : sudo docker-compose exec web python manage.py startapp app-name

To abort: sudo docker-compose down

To allow vscode to edit : sudo chown -R $USER folder name

To create a virtual env : python3 -m venv env source env/bin/activate

To open shell in container:

sudo docker exec -it backend-web-1 bash

Tech Stack

Django Rest Framwork
NextJS
Typescript
Postgres
TailwindCSS
Docker
Gemini
Langchain
LangGraph
Zustand
Material UI
Headless UI