The need for restaurants is increasing every day, making the restaurant industry one of the most competitive. Food is extremely important to human existence and is required for survival. Unlike other cuisines, Indian food has a unique flavor and aroma. One of the most competitive industries nowadays is the restaurant business. Since people have loved sharing meals with one another for generations, the demand for restaurants is rising on a regular basis. With a wide variety of international cuisines, India is a foodie’s paradise. Here, we have explored the distribution of restaurant category such as street food, bakery, north Indian, and south Indian. This study aims to reveal how different attributes such as delivery times, prices, and ratings impact the success of restaurants in India. Using a novel machine learning model, we quantified the influence of various restaurant attributes on customer ratings and success. This data analytics has been performed using Jupyter notebook and demonstrated the significant influence that attribute analysis has on restaurant evaluation. The insights from this study help restaurant owners in urban Indian settings optimize their service attributes to enhance customer satisfaction and profitability.