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

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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