This project was developed during an internship and involves comprehensive restaurant data analysis. It includes implementing algorithms for predicting ratings, recommending cuisines, and providing personalized restaurant recommendations.
- Data Analysis: Analyze restaurant data to extract meaningful insights.
- Rating Prediction: Implement machine learning algorithms to predict restaurant ratings based on various features such as cuisine, location, and reviews.
- Cuisine Analysis: Analyze data to understand popular cuisines and customer preferences.
- Recommendation Algorithm: Develop an algorithm to recommend cuisines to users based on their previous choices and ratings.
- User Profiling: Create user profiles based on their dining history and preferences.
- Recommendation System: Implement a personalized recommendation system that suggests restaurants tailored to individual user preferences.