IngredientPrediction

This is a project for the course CE1015 - Introduction to Data Science and Artificial Intelligence

The goal of the project is to recommend groceries based on pictures of items currently present in a buyer's basket. For this we have created a recommendor system using scikit-learn and implemented Google's Vision API for the ingredient recognition. More details can be found in the PDF.

The data for this project can be found on Kaggle

Order of Notebooks

The notebooks are meant to be viewed in the following order:

1. Exploratory Analysis
2. Cultural Diffusion
3. Chloropleth
4. Cuisine Prediction
5. Ingredient Recommendation

Contributions:

1. Vivek - Data Visualisation(Choropleth), Integration of Google Cloud Vision API, Telegram Bot
2. Xia - EDA(cultural diffusion), Data Visualisation
3. Lakshyajeet - Ingredient Recommendation, Cuisine Prediction, EDA