Bento Recommendation Engine

Main Features

Based on the customer location and taste profiles/preferences, returns a sorted list of restaurants on the basis of following factors:

• Restaurant proximity
• Current utilization rate
• Matching preferences
• Ratings.

Folder Structure

└── 📁controllers
    └── recommendation.controller.ts
└── 📁interfaces
    └── customer.interface.ts
    └── hub.interface.ts
        |
        |
    └── utilizationData.interface.ts
└── 📁routers
    └── recommendation.router.ts
└── 📁services
    └── external.service.ts
└── 📁utils
    └── recommenderUtil.ts
└── config.ts
└── index.ts
└── package.json
└── README.md

Deployed Backend

https://bento-recommender.onrender.com

How to Run the App Locally

1. Clone the repository: git clone https://github.com/omi5/recommendation-engine.git
2. Install dependencies: npm install
3. Create a .env based on the given .env.example
4. Start the development server: npm run dev
5. Make POST API Call: localhost:5000/get-all-restaurants/get-all-restaurants

body:

{
    "_id": "65cb1244bcf523adff87da56",
    "currentLatLong": {
        "longitude": -0.12715638773914495,
        "latitude": 51.52503786295292
    },
    "customerPreference": {
        "tastyTags": [
            "Sour",
            "Tangy"
        ],
        "category": []
    }
}