NoseKnows: Fragrance Recommendation API 🌸

NoseKnows analyzes your favorite perfumes and makes a recommendation for other fragrances you may like.

Features

Personalized Recommendations: Leveraging KNN Algorithm, NoseKnows provides users with personalized fragrance recommendations that align with their unique preferences and past selections.

Tech Stack

• AI & Machine Learning: Python with Scikit-learn
• Backend: Python with Flask
• Database: TBD

The initial dataset is from Kaggle and can be found by clicking here.

Local Development

1. Clone the repository
2. Install the dependencies by running pip install -r requirements.txt
3. Run the application by executing flask run
4. Navigate to to the endpoint /api/recommend to perform a POST request

In the body of the request, include the following JSON object:

{
    "fav_perfumes": [
        "Sola Parfum",
        "Amber Eau de Parfum",
        "Black Citrus Eau de Parfum"
    ]
}

Resources to learn more

• Using GitHub Copilot in your IDE: Tips, tricks, and best practices
• 10 unexpected ways to use GitHub Copilot
• How to use Github Copilot in the CLI
• Prompt crafting with GitHub Copilot

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