What's my worth

🤑 A web app which recommends recipes based on the ingredients provided. 💵

Features:

• Enter specific fields lke Age, Gender, Education Level, Job Title, Years of Experience, Country and Race. Given this, the AI model will determine your approximate salary expectations in USD.

• Very light and performant, thanks to the model being loaded directly in the browser by Tensorflow.js.

Tech stack:

• The T3 stack:
  • Next.js
  • React
  • Typescript
  • Tailwind CSS
  • PostCSS config
• Tensorflow & Tensorflow.js
• Python, with numpy, pandas and sklearn to train and export the keras model.

Development/instllation

How to run the project locally on your own hardware:

• Clone and cd into the repo.

git clone https://github.com/k4u5h4L/whatsmyworth.git && cd whatsmyworth

• Install the required dependencies

yarn install

• Cope the contents of the .env.example file to .env and fill in the needed API keys and data if required. Ignore this stpe if the file is empty.

• Start the development server by running

yarn dev

This should spin up the site on localhost:3000.

If you want a production server, build and start the server.

yarn run build && yarn start

Note:

• This project is made as a hobby and is NOT a commercial application.
• Please do not consider the output of the AI model as anything concrete, as this is only for educational purposes.
• Any contribution is welcome. You can fork and submit a pull request.

Citations:

• Salary dataset from Kaggle.