This repository contains the code for the Restaurant Recommendation System.

Rahul Makhija
Rishab KS
Rohan M

This project contains source code for the following models:

1. TF-IDF Vectorizer and Cosine Similarity
2. Comparison of Cosine Similarity, Pearson Correlation and Euclidean Distance
3. Neural Network Model

The raw dataset can be obtained from the following link:

https://www.kaggle.com/himanshupoddar/zomato-bangalore-restaurants

The dataset is processed before training on the models,
The script to pre-process the data is provided in the src\data\pre_process.ipynb file.

The visualization of the data is provided in the src\visualization\Data_Analysis.ipynb file.

The results of the analysis is summarized in the report\EDA.pdf file.

pip install -r requirements.txt

Before running the code, install the required libraries using the above command.

Please raise a Github issue if you have any questions or suggestions.