This project is about Indian Cuisine here i have 255 famous indian dishes. When user will click on any dish they will get a recipe and recommendation for that particular dish. Here i have used youtube videos for cuisine recipe and i have build a machine learning model using cosine similarity for recommendation
- I have deployed this on AWS Elastic Beanstalk platform
Link: http://indiancuisine.us-east-2.elasticbeanstalk.com/
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In this project i have used indian food data set from kaggle you can get it from here
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I have analyzed the data set and make it in shape that it help me to build a recommendation model
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Here i have used Cosine Similarity to build a recommendation model.
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Cosine similarity is nothing but a degree between two data points or two similar type of data
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I made web app using flask, javascript, bootstrap, css and HTML you can find all the files inside this Repository
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Here i have used bing_image_downloader to scrape and download all dishes images
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Here i have used youtubesearchpython to get unique id of recipe vidoes from youtube which i have demonstrated at front end side as embedded video of recipe.
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| Jay Soni |
- Entire credits goes to My God
- Cuisine Images credits goes to bing search engine
- Cuisine Recipe credits goes to youtube
- If you like my work and it helped you in anyway then please do ⭐ the repository it will motivate me to make more amazing projects