Exploratory Data Analysis (EDA) on Bengaluru restaurant data to uncover insights into ratings, cuisines, cost, location, and dining trends. Built using Python, Pandas, Seaborn, and Matplotlib to understand customer behavior and food business patterns.

This project provides a comprehensive analysis of McDonald's menu items, focusing on their nutritional content.The project empowers stakeholders to make data-driven decisions to optimize menu offerings and promote healthier choices.

This is a software to help food scientists in their everyday lab work making easy to calculate physical chemical parameters in a range of food sources

🍕 Pizza Price Prediction – A Machine Learning model to predict the price of pizzas based on ingredients, size, toppings, and other factors. Built with Regression models, Scikit-Learn, Pandas, and Python.