the 'Swiggy Restaurant Recommendation Model,' simplifies decision-making by using data science and machine learning. It offers personalized restaurant suggestions to users based on their cuisine and location preferences. The process involves data scraping, cleaning, machine learning, and the creation of an interactive web app for an enhanced dining
In this project, we conducted an analysis of Bangalore restaurant cuisines using data collected from Swiggy, a popular food delivery platform. We utilized Python and MS Excel to gather, organize, and analyze the data.
Data Science Project
Solution of Mock Paper 2023 NAVTTC IBA CICT
Wedeliver is a Food Delivery App built with a tech stack that includes ReactJS, NodeJS, ExpressJS, and MongoDB.
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