Gsync / jobsync

JobSync is a job seekers' assistant to manage job search efficiently

JobSync - Job Search Assistant

Live Demo

JobSync is a web app companion for managing your job search journey. This free and open-source project is designed to help job seekers efficiently track and organize their job applications. Say goodbye to the chaos of scattered information and hello to a streamlined, intuitive, and powerful job search experience.

Job searching can be overwhelming, with numerous applications to track and deadlines to meet. JobSeeker Assistant is here to simplify this process, allowing you to focus on what really matters: landing your job. JobSync app platform empowers you with the tools you need to stay organized, informed, and proactive throughout your job search.

Dashboard

AI Resume review

AI Job match

Key Features

• Application Tracker: Keep a detailed record of all your job applications, including company details, job titles, application dates, and current status.

• Activity Monitoring Dashboard: Visualize your job search progress with an interactive dashboard that provides insights into your application activities, success rates, and upcoming tasks.

• Document Management: Store and manage your resumes, cover letters, and other application-related documents in one convenient place.

• AI Assistant: Leverage the power of AI to improve your resumes and cover letters. Get personalized job matching with scoring to identify the best opportunities tailored to your profile.

Free to Use and Self-Hosted

JobSync Assistant is completely free to use and open source. Our commitment to providing a powerful job search management tool at no cost ensures that everyone has access to the resources they need. Additionally, JobSeeker Assistant is designed to be self-hosted, giving you full control over your data. By using Docker, you can easily set up and run JobSync Assistant on your own server, ensuring a secure and personalized experience.

Installation

Using Docker

Step 1 - Clone repo

• Alternativey you can also download the source code using download link

git clone https://github.com/Gsync/jobsync.git

Step 2 (Optional) - Change environment variables

• Alternativey you can also download the source code using download link

2.1 Generate auth secret (Optional)

These methods will generate a random string that you can use as your AUTH_SECRET. Make sure to set this in your environment variables:

For example, add it to your .env local file:

AUTH_SECRET="your_generated_secret"

For npm

    npm exec auth secret

OR

    npx auth secret

Using the openssl command available on Linux and Mac OS X:

    openssl rand -base64 33

2.2 Change username and password (Optional)

You can use default username (admin@example) and password (password123) or change it in the Dockerfile

Step 3 - Build docker image and run container

• Please make sure you have docker installed, you dont need to know docker to be able to run the following command
• Please make sure you are in the root folder in your terminal

docker compose up

Step 4 - Access the app

• Open http://localhost:3000 with your browser to access the app.
• If you encounter port conflicts, please change it in the docker file

Credits

• React
• Next
• Shadcn
• Prisma
• Tailwind
• Tiptap
• Nivo
• Sqlite
• LangChain
• Ollama

AI Integration

Ollama (llama3.1)

Currently only works with ollama https://ollama.com to review the resume.

Please make sure ollama is installed and running on the same system to use the resume review and job matching feature.

Its making use of llama3.1 model, and only tested with 8B variant, please make sure it is downloaded and included in ollama.

Note: The response is based on the resume and job description content input, for an optimal response please make sure the input content does not contain any special characters, and the length of input content is within the context length of the model in use, also avoid including unnecessary details in the job description. Although llama3.1 supports longer context length, this app only support 3000 tokens context length, model might hallicunate and give unexpected response if longer input text content is used.

OpenAI

You must add your valid API key in the docker file, also please make sure openai provider and model is selected from the settings page, ollama is selected as the default provider.

ENV OPENAI_API_KEY=sk-xxx