Recipify

A Computer Vision based application to detect food ingredients uploaded as image data and then suggest recipes based on the same, along with nutritional information and suggestions

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Installation

Local Installation

1. Clone the repository with

git clone https://github.com/vxshxk/recipify.git

2. Install the required packages with the command

python -m pip install -r requirements.txt

5. cd into the recipify/ directory
6. Copy the environment file by doing

cp env.example .env

8. Get API keys from Unsplash and Gemini and past them in the .env file
9. To do the migrations, enter the command (needs to be entered only once)

python manage.py migrate

7. To run the server, enter the command (needs to be entered everytime the app server is to be started)

python manage.py runserver

8. Head to http://127.0.0.1:8000 to see the webpage

Docker Installation

1. Clone the repository with

git clone https://github.com/vxshxk/recipify.git

2. Enter the command to start up the docker container

docker compose up

3. Head to http://127.0.0.1:8000 to see the webpage

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Contributing

1. Make a new branch for every single change, do NOT push to main
2. Once all your changes are done, make a pull request to main
3. Request approval from necessary contributors
4. Pray for it to be merged

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References

1. Django Documentation
2. Gemini API Documentation
3. Unsplash API Documentation