Application to simplify job search process allowing users to auto apply.
Pending App store aproval.
• Implemented Linkedin and Indeed API’s to match user profile with relevant jobs.
• Generated resumes with unique cover letters using Linkedin profile and Cheerio scraped data from job posts.
• Developed complex database model with user-restricted layers of access to information.
• Designed and published a sleek mobile app using Ionic which enabled users to swipe through job descriptions, save interested jobs, and auto apply to jobs.-
Make sure that you have MongoDB installed correctly and running on your machine
mongod
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Serve the application with
gruntgrunt serve
To run the test suite, run the following command:
grunt test-
Clone the repository
git clone https://github.com/Faisalnwz01/stackstore
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Install dependencies
npm install # installs node packages bower install # installs bower dependencies
Note: If you encounter errors in the installation process for npm, it is recommended that you try running the install command with sudo
• Implemented Linkedin and Indeed API’s to match user profile with relevant jobs. • Generated resumes with unique cover letters using Linkedin profile and Cheerio scraped data from job posts. • Developed complex database model with user-restricted layers of access to information. • Designed and published a sleek mobile app using Ionic which enabled users to swipe through job descriptions, save interested jobs, and auto apply to jobs.
- Plan to work more on Recommendation engine.
- Syntax highlighting doesn't work in safari
- A bug with adding more item on Admin side, process is not as fluid as We want it to be.
- Faisal Nawaz - Project Lead LinkedIn | GitHub
- Grant Chapman Schoffelen - Project Lead LinkedIn | GitHub
- Pawel Socha - Project Lead LinkedIn | GitHub
- Michael Abraham - Project Lead LinkedIn | GitHub
This projected is licensed under the terms of the MIT license